Bibliography

Abdi, H. (2009) The Greenhouse-Geisser correction. In Neil Salkind (Ed.), Encyclopedia of Research Design. Sage. Thousand Oaks, CA.
http://www.utdallas.edu/~herve/abdi-GreenhouseGeisser2010-pretty.pdf

Abdi, H. (2010) Coefficient of variation. Encyclopedia of Research Design. Sage. Thousand Oaks, CA
https://www.utdallas.edu/~herve/abdi-cv2010-pretty.pdf

Abdi, H. & Molin, P. (2007) Lilliefors/Van Soest’s test of normality. Encyclopedia of measurement and statistics. Neil Salkind (Ed.). Sage, Thousand Oaks, California
https://www.utdallas.edu/~herve/Abdi-Lillie2007-pretty.pdf

Aczel, A. & Sounderpandian, J. (2009) Complete business statistics (7^th ed.). McGraw Hill.

Affective Computing, MIT Media Lab (2011) Single sample Kolmogorov-Smirnov goodness-of-fit hypothesis test.

Agresti, A. (2002) Categorical data analysis, Wiley & Sons

Albano, A. (2016) Introduction to educational and psychological measurement, Course Notes. University of Nebraska-Lincoln
https://digitalcommons.unl.edu/edpsychpapers/251/

AlNasser, H. (2014) On ridge regression and least absolute shrinkage and selection operator, University of Victoria
https://dspace.library.uvic.ca/bitstream/handle/1828/8499/AlNasser_Hassan_MSc_2017.pdf?sequence=3

Anderson, M. J. (2005) PERMANOVA
https://pdfs.semanticscholar.org/4d0c/430f6129b427e48fb407e59ac79ee29b4cae.pdf

Ang, A. H. and Tang, W. H. (2006) Probability Concepts in Engineering: Emphasis on Applications in Civil & Environmental Engineering

Answorth, A. (2004) MANOVA basics, Lecture 10, Psy 524, Applied multivariate statistics, California State University.
http://www.csun.edu/~ata20315/psy524/main.htm

Antweiler, W. (2014) Decomposing R-squared. Werner’s Blog
https://wernerantweiler.ca/blog.php?item=2014-10-10

Arthur, D. and Vassilvitskii, S. (2007) k–means++: the advantages of careful seeding (PDF). Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms. Society for Industrial and Applied Mathematics Philadelphia, PA, USA. pp. 1027-1035.
http://theory.stanford.edu/~sergei/papers/kMeansPP-soda.pdf

Azur, M. J., Stuart, E. A., Frangakis, C., and Leaf, P. J. (2012) Multivariate imputation by chained equations: what is it and how does it work? Int J Methods Psychiatr Res. Mar 1, 2011; 20(1): 40-49.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3074241/

Baguley, T. (2012) Comparing correlations. Serious Stats
https://seriousstats.wordpress.com/2012/02/05/comparing-correlations/

Barabesi, L. and Greco, L. (2002) A note on the exact computation of the Student t, Snedecor F and sample correlation distribution functions. Journal of the Royal Statistical Society. Series D (The Statistician). Vol 51. N. 1. pp 105-110.

Baraldi, A. N. and Enders, C. K. (2010) An introduction to modern missing data analyses, Journal of School Psychology 48, 5–37.
http://dx.doi.org/10.1016/j.jsp.2009.10.001

Barnwal, A. (2020) Kruskal’s minimum spanning tree algorithm, Greedy Algo-2. GeeksforGeeks
https://www.geeksforgeeks.org/kruskals-minimum-spanning-tree-algorithm-greedy-algo-2/

Benjamini, Y. and Hochberg, Y. (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society. Series B (Methodological), Vol. 57, No. 1, pp. 289-300.
http://engr.case.edu/ray_soumya/mlrg/controlling_fdr_benjamini95.pdf

Benjamini, Y. and Yekutieli, Y. (2001) The control of the false discovery rate in multiple testing under dependency. The Annals of Statistics, Vol. 29, No. 4, 1165–1188.
https://projecteuclid.org/euclid.aos/1013699998

Benoit, K. (2012) Multinomial and ordinal logistic regression, ME104: Linear Regression Analysis, London School of Economics and Political Science.
http://kenbenoit.net/assets/courses/ME104/ME104_Day8_CatOrd.pdf

Benton, T. (2013) An empirical assessment of Guttman’s Lambda 4 reliability coefficient. International Meeting of the Psychometric Society, Arnhem, July 2013

Berk, K. N. & Carey, P.M. (2010) Data analysis with Microsoft Excel. Brooks/Cole, Cengage Learning

Bian, G., McAleer, M., Wong, W-K (2009) A trinomial test for paired data when there are many ties
http://dx.doi.org/10.2139/ssrn.1410589

Black, K. (2014) Calculating the power of a test. Clarkson University
http://www.cyclismo.org/tutorial/R/power.html

Bland, J. M. & Altman, D. G. (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet, 1986 pp 307-310
https://pubmed.ncbi.nlm.nih.gov/2868172/

Bland, J. M. (2008) Cohen’s kappa. Course notes: Measuring health and disease. University of York.
No longer generally available online

Blood, E. and Spratt, K. F. (2007) Disagreement on agreement: Two alternative agreement coefficients. SAS Global Forum 2007
http://www2.sas.com/proceedings/forum2007/186-2007.pdf

Bogacka, B. (2008) Time Series. Queen Mary, University of London
No longer available online

Bonett, D. G. (2002) Sample size requirements for testing and estimating coefficient alpha. Journal of Educational and Behavioral Statistics, Vol 27, No 4, 335-340.

Boone, W. J. (2016) Rasch Analysis for Instrument Development: Why, When, and How?
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5132390/pdf/rm4.pdf

Boone, W. J. and Noltemeyer, A. (2017) Rasch Analysis: A primer for school psychology researchers and practitioners. Cogent Education
https://eric.ed.gov/?id=EJ1168367

Brannick, M. T. (2007) Regression. University of South Florida

Broadleaf (2014) Beta-PERT origins
http://broadleaf.com.au/resource-material/beta-pert-origins/

Brooks, G. P. and Johanson, G. A. (2011) Sample size considerations for multiple comparison procedures in ANOVA. Journal of Modern Applied Statistical Methods. Vol. 10, No. 1, 97-109.
https://digitalcommons.wayne.edu/jmasm/vol10/iss1/10/

Brown, S. (2015) Measures of shape: skewness and kurtosis
http://brownmath.com/stat/shape.htm

Buchan, I. E. (2016) Gini coefficient of inequality. Stats Direct Limited
https://www.statsdirect.com/help/nonparametric_methods/gini_coefficient.htm

Bujang, M. A. and Baharum, N. (2017) Guidelines of the minimum sample size requirements for Cohen’s Kappa. Biostatistics
https://riviste.unimi.it/index.php/ebph/article/view/17614

Burkardt, J (2014) The truncated normal distribution. Florida State University
https://people.sc.fsu.edu/~jburkardt/presentations/truncated_normal.pdf

Buro, K. (2014) Stat 378 – Applied regression analysis, MacEwan University
https://www.studocu.com/en-ca/course/macewan-university/applied-regression-analysis/1692972

Cantor, A. B. (1996) Sample size calculations for Cohen’s kappa. Psychological Methods
https://www.ime.usp.br/~abe/lista/pdfGSoh9GPIQN.pdf

Cardillo, G. (2009) Algorithm for Fleiss’s kappa, MATLAB
http://www.mathworks.com/matlabcentral/fileexchange/15426-fleisses-kappa/content/fleiss.m

Cha, J (2015) Re-Establishing the theoretical foundations of a truncated normal distribution: standardization statistical inference, and convolution. Dissertation at Clemson University
https://tigerprints.clemson.edu/all_dissertations/1793

Chen, M-Q (2013) Cubic spline interpolation
This reference is no longer available

Chen, S-Y, Feng, Z., Yi, X, (2017) A general introduction to adjustment for multiple comparisons, Journal of Thoracic Diseases, vol 9, no. 6.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5506159/

Cherry, S. (1999) ANOVA course notes. University of Montana

Chinn, S. (2000) A simple method for converting an odds ratio to effect size for use in meta-analysis. Statistics in Medicine 2000, 19:3127-3131.
www.aliquote.org/pub/odds_meta.pdf

Choong, J. (2012) Powerful forecasting with MS Excel
https://www.goodreads.com/book/show/21852050-powerful-forecasting-with-ms-excel

Clark, M. (2009) MANOVA, Dig It!, Psyc 6810, University of North Texas.

Clarke, G. M. & Cooke, D. (1998) A basic course in statistics (4^th ed.). Arnold.

Cliff, Norman (1993). Dominance statistics: Ordinal analyses to answer ordinal questions. Psychological Bulletin. 114 (3): 494-509

Clyde, M., Cetinkaya-Rundel M., Rundel, C., Banks, D., Chai, C., Huang, L. (2019) An introduction to Bayesian thinking
https://statswithr.github.io/book/inference-and-decision-making-with-multiple-parameters.html

Cohen, J. (1988) Statistical analysis for the behavioral sciences (2^nd ed.). Lawrence Erlbaum Associates.

Collet, D. (2003) Modeling survival data in medical research 2^nd Ed. Chapman & Hall/CRC

Cook, S. (2014) Directional accuracy, forecasting accuracy and making profits
https://www.economicsnetwork.ac.uk/showcase/cook_directional#The_Pesaran-Timmermann_Test

Cormen, T. H., Leiserson. C.E. & Rivest, R.L. (1992) Introduction to algorithms. MIT Press.

Cribbie, R.A., Wilcox, R.R., Bewell, C., Kesselman, H.J. (2007) Tests for treatment group equality when data are nonnormal and heteroscedastic. Journal of Modern Applied Statistical Methods, vol 6 issue 1
https://digitalcommons.wayne.edu/jmasm/vol6/iss1/12/

Cronquist, O. (2009) Get digital help website
https://www.get-digital-help.com/

Czepiel, S. A. (2002) Maximum likelihood estimation of logistic regression models: theory and implementation. http://czep.net/stat/mlelr.pdf

Dahyot, R. (2007) Jackknife
https://es.scribd.com/document/142682334/04-Jackknife-pdf

de Groen, P.  (1998) An Introduction to total least squares. Nieuw Archief voor Wiskunde, Vierde serie, deel 14, 1996, pp. 237-253.
https://arxiv.org/abs/math/9805076

de Jong, R. (2020) Lecture 2: ARMA models. Ohio State University
No longer available online

Diebold, F.X. and R.S. Mariano. (1995) Comparing predictive accuracy. Journal of Business and Economic Statistics, 13: 253-63.

Dobson, A. J. (2002) An introduction to generalized linear models. 2^nd ed. Boca Raton, FL: Chapman & Hall/CRC.
https://reneues.files.wordpress.com/2010/01/an-introduction-to-generalized-linear-models-second-edition-dobson.pdf

Dombi G. (2015) Using biweights for handling outliers
No longer available online

Doros, G. and Lew, R. (2010) Design based on intra-class correlation coefficients, American Journal of Biostatistics 1 (1): 1-8.

Dransfield R.D., Brightwell R. (2012) Sen’s estimator of slope. Avoiding and detecting statistical malpractice: Design & Analysis for Biologists, with R.
http://influentialpoints.com/Training/sens_estimator_of_slope.htm

Dubcovsky, J. (2015) Latin squares. Experimental design course. UC Davis Plant Sciences
https://psfaculty.plantsciences.ucdavis.edu/agr205/

Dubcovsky, J. (2015) The problem of missing data. Experimental design course. UC Davis Plant Sciences
www.plantsciences.ucdavis.edu/agr205/lectures/2011_lectures/l11_unbalanced.pdf

Dunbar, D. (2001) Cubic spline
The .xls spreadsheet is no longer available.

Dunnett, C.W. (1964) New tables for multiple comparisons with a control, Biometrics Vol. 20, No. 3. 482-491

Efron and Hastie (2016) Computer age statistical inference. Cambridge University Press

El Ghaoui, L. (2012) Optimization models and application
https://inst.eecs.berkeley.edu/~ee127/fa12/lectures.html

Eliason, S. (2010) Review of binary, ordered, & multinomial logit model, University of Arizona.

Enders, C. K. (2013). Analyzing structural equation models with missing data. In G. R. Hancock & R. O. Mueller (Eds.), Quantitative methods in education and the behavioral sciences: Issues, research, and teaching. Structural equation modeling: A second course (p. 493-519). IAP Information Age Publishing.
https://books.google.it/books?hl=en&lr=&id=VfonDwAAQBAJ&oi=fnd&pg=PA315&dq=Enders,+C.+(2006)+Analyzing+structural+equation+models+with+missing+data,+Arizona+State+University.&ots=-MydomJhRE&sig=6amryEznHgvX5flsDLrIT5gZf9M#v=onepage&q&f=false

Ender, P. (2007) Multivariate Statistical Analysis
This document is no longer available online

Enzmann, D. (2015) Notes on effect size measures for the difference of means from two independent groups: The Case of Cohen’s d and Hedges’ g.
http://dx.doi.org/10.13140/2.1.1578.2725

Eshel, G. (2009) The Yule Walker equations for the AR coefficients. Financial Time Series and Computational Statistics. Wharton School.
http://www-stat.wharton.upenn.edu/~steele/Courses/956/ResourceDetails/YWSourceFiles/YW-Eshel.pdf

Evans, W. M. (2013) Durbin Watson tables, ECON 30331/Econometrics (lecture notes), University of Notre Dame https://www3.nd.edu/~wevans1/econ30331/Durbin_Watson_tables.pdf

Expert Health Data Programming (2015) Jenks natural breaks explained
https://www.ehdp.com/methods/jenks-natural-breaks-2.htm

Fabsic, P., Evgeny, V., Zemmer, K. (2011) Cox proportional hazards model and its characteristics. ETH
https://stat.ethz.ch/education/semesters/ss2011/seminar/contents/handout_3.pdf

Facchinetti, S. (2009) A procedure to find exact critical values of Kolmogorov-Smirnov test. Statistica Applicata Italian Journal of Applied Statistics Vol. 21 n. 3-4  https://publicatt.unicatt.it/handle/10807/23522#.X-i7sNi2k2w

Faculté des Sciences, Juidiques, Economiques, et Sociales Fes. (2014) Liste non-exhaustives des tests statistiques

Testing and Evaluation Services (2016) Interpreting test results. University of Texas at Austin
https://testingservices.utexas.edu/scanning/interpreting-test-results

Fagerland, M., Hosmer, D. and Bofin, A. (2008) Multinomial goodness-of-fit tests for logistic regression models, Statistics in Medicine, Wiley Interscience

Faul, F., Erdfelder, E., Buchner, A., & Lang, A. G. (2009) Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41, 1149-1160.
http://link.springer.com/article/10.3758/BRM.41.4.1149

Feldt, L. S., Woodruff, D. J., and Salih, F. A. (1987) Statistical inference for coefficient alpha. Applied Psychological Measurement, Vol 11, No. 1, 93-103.
http://conservancy.umn.edu/handle/11299/103396

Feng, D. and Cliff, N. (2009) JMASM29: Dominance analysis of independent data (Fortran)
http://digitalcommons.wayne.edu/cgi/viewcontent.cgi?article=1542&context=jmasm

Ferguson, T. (2008) The Kolmogorov distribution
No longer available online

Ferreira, D. F., Demetrio, C. G. B., Manly, B. F. J, Machado, A. de A. (2007) Quantile from the maximum studentized range distribution
No longer available online

Field, A. (2009) Discovering statistics using SPSS. 3^rd Ed. SAGE.

Fleiss, J. L., Cohen, J, Everitt, B. S. (1969) Large sample standard errors of kappa and weighted kappa. Psychological Bulletin
https://www.semanticscholar.org/paper/Large-sample-standard-errors-of-kappa-and-weighted-Fleiss-Cohen/f2c9636d43a08e20f5383dbf3b208bd35a9377b0

Fleiss, J. L. (1971) Measuring nominal scale agreement among many raters. Psychological Bulletin, Vol 76 No. 5, 378-382.

Fleiss, J. L., Nee, J. C. M., and Landis, J. R. (1979) The large sample variance of kappa in the case of different sets of raters. Psychol. Bull., 86, 974-977.

Flor, N. V. (2016) Varimax rotation in Excel VBA. ProfessorF
http://professorf.com/flor-2016-varimax-rotation-in-excel-vba/

Fox, J. (2005) Maximum-likelihood estimation of the logistic regression model. UCLA/CCPR Notes.
No longer available online

Freedman, D. and Diaconis, P. (1981) On this histogram as a density estimator: L2 theory. Zeit. Wahr. ver. Geb., 57, 453-476.

Freund, J. E. (1962) Mathematical statistics. Prentice Hall.

Furr, M. and Bacharach, V. R. (2007) Psychometrics: An introduction; Chapter 13: Item response theory and Rasch models. Sage Publishing
https://in.sagepub.com/sites/default/files/upm-binaries/18480_Chapter_13.pdf

Gander, W. (1980) Algorithms for the QR-Decomposition. Seminar fuer Angewandt Mathematik Eidgenoessische Technische Hochschule, Zurich

Garbin, C. (2014) Cochran’s Q Test, Bivariate statistics hand-computation cache, University Nebraska Lincoln http://psych.unl.edu/psycrs/handcomp/hccochran.PDF

Gardener, M. (2015) Using R for statistical analyses – Non-parametric stats. GardenerS own website
Webpage no longer active

Garson, G. D. (2012). Correspondence Analysis. Asheboro, NC: Statistical Associates Publishers

GeeksforGeeks (2020) Prim’s minimum spanning tree (MST), Greedy algorithm Algo-5
https://www.geeksforgeeks.org/prims-minimum-spanning-tree-mst-greedy-algo-5/

Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., Rubin, D. B. (2014) Bayesian data analysis, 3^rd Ed. CRC Press
https://statisticalsupportandresearch.files.wordpress.com/2017/11/bayesian_data_analysis.pdf

Gibbons, J. D. and Chakraborti (2011) Non-parametric statistical inference, 5^th edition. CRC Press

Gibilisco, S. (2004) Statistics demystified, McGraw Hill.

Gocic, M. and Trajkovic, S. (2012) Analysis of changes in meteorological variables using Mann-Kendall and Sen’s slope estimator statistical tests in Serbia. Elsevier
https://www.academia.edu/6955354/Trend_Analysis_MK_Sen_Slope

Goel, M.K., Khanna, P., and Kishore, J. (2010) Understanding survival analysis: Kaplan-Meier estimate. Int J Ayurveda Res. 2010 Oct-Dec; 1(4): 274-278.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3059453/

GoldSim (2019) Help on Triangular Distribution
https://www.goldsim.com/help/index.html#!Modules/5/triangulardistribution.htm

Gonzalo, J. (2014) Cointegration and error correction.
No longer available online

Gould, R. (2002) Bootstrap hypothesis test, Stats 110A, UCLA
http://www.stat.ucla.edu/~rgould/110as02/bshypothesis.pdf

Gravetter, F. & Wallnau, L. (2008) Essentials of statistics for the behavioral sciences (6^th ed.). Thomas Wadsworth.

Gujarati, D. & Porter, D. (2009) Basic econometrics. 5th Ed. McGraw Hill

Guner, B.G. & Johnson, J.T. (2007) Comparison of the Shapiro-Wilk and kurtosis tests for the detection of pulsed sinusoidal radio frequency interference

Gupta, R. K. (2019) Numeric methods: Fundamentals and applications. Cambridge University Press

Gwet, K. L. (2001) Handbook of interrater reliability. STATAXIS Publishing

Gwet, K. L. (2015) On Krippendorff’s alpha coefficient
https://agreestat.com/papers/onkrippendorffalpha_rev10052015.pdf

Hale, I. (2015) Design, analysis and interpretation of experiments, BIOL 933, University of New Hampshire
This webpage is no longer available

Halgren, K. A. (2012) Computing inter-rater reliability for observational data: An overview and tutorial. Tutor Quant Methods Psychol. 2012; 8(1): 23-34.
https://www.ncbi.nlm.nih.gov/pubmed/22833776

Halim, L. (2015) Survival analysis with Kaplan-Meier curves, Data analysis with Excel website
https://github.com/lukashalim/ExcelSurvival/

Hanlon, B. and Larget, B. (2011) Power and sample size determination, University of Wisconsin, Madison
www.stat.wisc.edu/~st571-1/10-power-2.pdf

Harter, H. L. (1960) Tables of range and Studentized range. Ann. Math. Statlist. Vol. 31 No. 4. 1122-1147. http://projecteuclid.org/euclid.aoms/1177705684

Harvey, D., S. Leybourne, and P. Newbold. (1997) Testing the equality of prediction mean squared errors. International Journal of Forecasting, 13: 281-91.

Hayes, A. and Cai, L. (2007) Using heteroskedasticity-consistent standard error estimators in OLS regression: An introduction and software implementation. Behavior Research Methods 2007, 39 (4), 709-722.
https://www.yumpu.com/en/document/read/39520963/using-heteroskedasticity-consistent-standard-error-estimators-in-ols-

Hedges, L. V. and Olkin, I. (1985) Statistical methods for meta-analysis, Academic Press

Heij, De Boer, Franses, Kloek, and Van Dijk (2004) Econometric methods with applications in business and economics, Oxford University Press.

Hesterberg, T., Monaghan, S. et al (2003) Bootstrap methods and permutation tests, Chapter 18 of The practice of business statistics, W.H. Freeman and Company.
http://bcs.whfreeman.com/webpub/statistics/ips9e/9781319013387/companionchapters/companionchapter16.pdf

Hoaglin, D. C., Iglewicz, B., Tukey, J. W. (1986) Performance of some resistant rules for outlier labeling. Journal of American Statistical Association, 81, 991-999.

Hoel, P. (1943) On indices of dispersion. The Annals of Mathematical Statistics. Vol. 14, No. 2 pp. 155-162.
http://projecteuclid.org/download/pdf_1/euclid.aoms/1177731457

Hoel, P. (1962) Introduction to mathematical statistics, 3^rd Ed. John Wiley and Sons

Hoff, P. D. (2009) A first course in Bayesian statistical methods. Springer
https://esl.hohoweiya.xyz/references/A_First_Course_in_Bayesian_Statistical_Methods.pdf

Hole, G. (2013) Deciding the statistical significance of nonparametric tests with large sample sizes, University of Sussex. http://www.sussex.ac.uk/Users/grahamh/RM1web/Wilcoxon%20Large%20N%202009.pdf

Horsley, R.D. (2017) Plant Sciences 724: Field Plot Design I. North Dakota State University
https://www.ndsu.edu/faculty/horsley/

Horst, P. (1950) Estimating total test reliability from parts of unequal length. Educational Testing Service
https://www.ets.org/research/policy_research_reports/publications/report/1950/ikve.html

Howell, D. (2007) Resampling statistics: Randomization and the bootstrap
https://amser.org/r9181/resampling_statistics_randomization_and_the_bootstrap

Howell, D. C. (2010) Statistical methods for psychology (7^th ed.). Wadsworth, Cengage Learning.
https://labs.la.utexas.edu/gilden/files/2016/05/Statistics-Text.pdf

Howell, D. C. (2011) Confidence intervals on effect size
https://docplayer.net/242105-Confidence-intervals-on-effect-size-david-c-howell-university-of-vermont.html

Howell, D. C. (2012). Treatment of missing data part 2
https://www.uvm.edu/~statdhtx/methods8/Supplements/Mixed%20Models%20Repeated/Mixed%20Models%20for%20Repeated%20Measures2.html

Hristova, D. (2018) Breusch-Godfrey LM test for serial correlation. City University London
This slide presentation is no longer available

Hsieh, F. Y., Bloch, D. A., Larsen, M. D. (1988) A simple method of sample size calculation for linear and logistic regression. Statistics in Medicine
https://pubmed.ncbi.nlm.nih.gov/9699234/

Huang, H. (2006) Jacknife and bootstrap. University of California, Berkeley
www.stat.berkeley.edu/~hhuang/STAT152/Jackknife-Bootstrap.pdf

Hutcheson, G. D. and Moutinho, L. (2008) Statistical modeling for management. Sage

Hydzik, T. (2014) Histogram with normal distribution overlay in Excel. Travis Blog
This is no longer available online

Hyndman, R. J. (1995) The problem with Sturges’ rule for constructing histograms
https://robjhyndman.com/papers/sturges.pdf

Hyndman, R. J. (2010) Why every statistician should know about cross-validation. Hyndsight
https://robjhyndman.com/hyndsight/crossvalidation/

Hyndman, R. J. and Fan, Y. (1996) Sample quantiles in statistical packages. The American Statistician, Vol. 50, No. 4. pp. 361-365.
https://robjhyndman.com/publications/quantiles/

Ibisevic, S. (2017) Diebold-Mariano test statistic. MathWorks
https://it.mathworks.com/matlabcentral/fileexchange/33979-diebold-mariano-test-statistic?focused=7267180&tab=function

IBM SPSS (2018) IBM SPPS statistics 25 documentation
https://www.ibm.com/support/pages/ibm-spss-statistics-25-documentation

Ing, C-K, Multivariate normal distributions, Institute of Statistical Science, Academia Sinica. The document is no longer available on the Internet

Irwin, M. (2006) Course notes, generalized linear models. Harvard University. http://www.markirwin.net/stat149/lecture.html

Jackson, D. L. (2016) Analysis of covariance (ANCOVA) Lecture notes, University of Windsor
No longer available online

Jameson, A. (2019) Cubic splines
No longer available online

Jordan, M. (2010) Bayesian modeling and inference. Course notes
https://people.eecs.berkeley.edu/~jordan/courses/260-spring10/lectures/index.html

Kaiser, H. (1974) An index of factor simplicity. Psychometrika 39: 31-36

Kingman, A. (2011) Assessing examiner agreement: why reporting kappa is not enough, Presentation at The European Association of Dental Public Health (EADPH) 16th annual meeting, Rome, Italy

Kirchner, J (2001) Hodges-Lehmann estimators. Analysis of environmental data. University of California Berkeley
seismo.berkeley.edu/~kirchner/eps_120/Toolkits/Toolkit_08.pdf

Klotz, J. (2004) A computational approach to statistics. University of Wisconsin at Madison
https://www.mimuw.edu.pl/~pokar/StatystykaI/Literatura/KlotzBook.pdf

KMPK, Fundamentals of biostatistics. Course notes.

Knaust, H. (1998) The cubic formula. S.O.S. MATHematics
No longer available online

Kumar, R. (2002) Numerical analysis
https://nptel.ac.in/content/storage2/courses/122104019/numerical-analysis/Rathish-kumar/ratish-1/f3index.html

Laerd Statistics (2013) https://statistics.laerd.com/spss-tutorials/one-way-manova-using-spss-statistics.php

Lakens, D. (2013) Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs. Front. Psychol.
http://journal.frontiersin.org/Journal/10.3389/fpsyg.2013.00863/full

Lakens, D. (2017) Equivalence Tests: A Practical Primer for t Tests, Correlations, and Meta-Analyses. Social Psychological and Personality Science
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5502906/

Larsen, P. V. (2006) Regression and analysis of variance. Course notes.

Lee, M-Y. (2016) On the Durbin Watson statistic based on a Z-test in large samples, Int. J. Computational Economics and Econometrics, Vol. 6, No. 1, pp.114-121.

Lee, P. M. (2012) Bayesian statistics an introduction. 4^th Ed. Wiley
https://www.wiley.com/en-us/Bayesian+Statistics%3A+An+Introduction%2C+4th+Edition-p-9781118332573

Leemis, L. (2012) Triangular distribution. College of William & Mary
http://www.math.wm.edu/~leemis/chart/UDR/PDFs/TriangularV.pdf

Lehnen, A. (2014) Excel comparison of linear regression to total least squares fit. Madison Area Technical College
Webpage is no longer active

Leemis, L. (2012) Triangular distribution. College of William & Mary
http://www.math.wm.edu/~leemis/chart/UDR/PDFs/TriangularV.pdf

León, R. (2004) Nonparametric tests and bootstrapping, Statistics 571: Statistical Methods, University of Tennessee
Webpage is no longer active

Lewis, A. (2013) Statistics for engineers (course), University of Sussex
http://cosmologist.info/teaching/STAT/Statistics5.pdf

Lewis, J. P. & Traill, A. (1999). Statistics explained. Addison-Wesley.

Leys, C. and Schumann, S. (2010) A nonparametric method to analyze interactions: The adjusted rank transform test
http://cescup.ulb.be/wp-content/uploads/2015/04/Leys_and_Schumann_nonparametric_interactions.pdf

Lilliefors, H. W. (1967) On the Kolmogorov-Smirnov Test for Normality with Mean and Variance Unknown, Journal of the American Statistical Association, Vol. 62, No. 318, pp. 399-402.
https://pdfs.semanticscholar.org/4aad/1756e88dba86399a75891895e00b160f5460.pdf

Lin, C. F. (2006) Analysis of three-way contingency table. http://web.ntpu.edu.tw/~cflin/Teach/Cate/06CateUEN05ThreeWayPPT.pdf

Lipsitz, S. R., Parzen, M. and Zhao, L. P. (2001) A degrees-of-freedom approximation in multiple imputation. J. Statist. Comput. Simul., 2002, Vol. 72(4), pp. 309-318.
https://ftp.math.utah.edu/pub/tex/bib/toc/jstatcomputsimul.html#72(4):2002

Little, R. J. A. & Rubin, D. B. (1987) Statistical analysis with missing data. John Wiley & Sons.

Lockhart, R. (2008) STAT 350 Diagnostics, Linear models in applied statistics, Simon Fraser University
http://people.stat.sfu.ca/~lockhart/richard/350/08_2/lectures/Diagnostics/web.pdf

Lowry, R. (2012) Concepts & applications of inferential statistics.
http://vassarstats.net/textbook/

Macdonald, P. (1997) Confidence intervals for the mean of a Poisson distribution
http://ms.mcmaster.ca/peter/s743/poissonalpha.html

MacKinnon, J. G. (1990) Critical values for cointegration tests.
https://www.econstor.eu/bitstream/10419/67744/1/616664753.pdf

Mahler, C.M. (2016) The tetrachoric correlation coefficient
https://eigenblogger.com/tag/tetrachoric-correlation-coefficient/

Maitra, R. (2012) Box M test algorithm. Iowa State University
Webpage is no longer active

Mann, H. & Whitney (1947) On a test of whether one of two random variables is stochastically larger than the other. Annals of Mathematical Statistics, 18, p50-60.
http://projecteuclid.org/download/pdf_1/euclid.aoms/1177730491

Mann, J. (2015) Video 7: Cointegration. Gretl Instructional Series
https://www.youtube.com/watch?v=bJgx3JLb7fI

Marin, J-M and Robert, C. R. (2014) Bayesian essentials with R. 2^nd Ed. Springer
https://www.springer.com/gp/book/9781461486862

Marsaglia, G. (2014) Evaluating the Anderson-Darling distribution. Journal of Statistical Software.
https://www.jstatsoft.org/article/view/v009i02

MathWave (2019) Pert distribution
This webpage is no longer available

MathWorks (2014) http://www.mathworks.com/index.html?s_tid=gn_loc_drop

Matlock-Hetzel, S. (1997) Basic concepts in item and test analysis. Texas A&M
http://ericae.net/ft/tamu/Espy.htm

Matthews, J. (2012) Survival analysis, Course in medical statistics, Newcastle University
http://www.mas.ncl.ac.uk/~njnsm/medfac/docs/surv.pdf

McConnell, B. and Vera-Hernandez, M. (2015) Going beyond simple sample size calculations: a practitioner’s guide. Institute for Financial Studies.
http://brendonmcconnell.github.io/pdf/power.pdf

McDonald, J. H. (2015) Cochran-Mantel-Haenszel test for repeated tests of independence Handbook of Biological Statistics
http://www.biostathandbook.com/cmh.html

MedCalc manual (2013) http://www.medcalc.org/manual/

Mehta, C. R. and Patel, N. R. (1989) IBM SPSS Exact Tests
https://www.ibm.com/docs/en/SSLVMB_27.0.0/pdf/en/IBM_SPSS_Exact_Tests.pdf

Microsoft (2021) Excel functions
https://support.microsoft.com/en-us/office/excel-functions-alphabetical-b3944572-255d-4efb-bb96-c6d90033e188#bm19

Miguez, J. (2015) MTH6139: Time Series, University of London
This webpage is no longer available

Miller, E. (2013) Statistical formulas for programmers
www.evanmiller.org/statistical-formulas-for-programmers.html#prop_mci

Minitab technical papers (2016)
http://www.minitab.com/support/documentation/Answers/KappaCalculations.pdf

Minitab (2020) Example of Crossed Gage R&R study
https://support.minitab.com/en-us/minitab/19/help-and-how-to/quality-and-process-improvement/measurement-system-analysis/how-to/gage-study/crossed-gage-r-r-study/before-you-start/example/

Minitab (2010) Gage studies for continuous data, fuel injector nozzle diameters
https://www.google.it/webhp?sourceid=chrome-instant&ion=1&espv=2&ie=UTF-8#q=Gage+Studies+for+Continuous+Data

Minka, T. P. (2002) Estimating a gamma distribution
https://tminka.github.io/papers/minka-gamma.pdf

Mirzaei, S., Borzadaran G. R. M., Aminib, M., Jabbarib, H. (2017) A comparative study of the Gini coefïcient estimators based on the regression approach. Communications for Statistical Applications and Methods. Vol. 24, No. 4, 339-351.
http://www.csam.or.kr/journal/download_pdf.php?doi=10.5351/CSAM.2017.24.4.339

MITOpenCourseware (2004) Statistical methods in brain and cognition lecture notes
https://dspace.mit.edu/bitstream/handle/1721.1/111990/9-07-spring-2004/contents/lecture-notes/index.htm

Mitsaki, E. (2017) Ridge regression (Chapter 3)
www.stat-athens.aueb.gr/~jpan/diatrives/Mitsaki/chapter3.pdf

Miwa, T. (2015) Probability distribution calculators

Molin, P. & Abdi, H. (1998) New table and numerical approximations for Kolmogorov-Smirnov/Lilliefors/Van Soest normality test. Technical report, University of Bourgogne.
https://www.utdallas.edu/~herve/MolinAbdi1998-LillieforsTechReport.pdf

Mong-Na Lo Huang (2011) Durbin-Watson test, National Sun Yat-sen University, Taiwan No longer available online

Moore, D., McCabe G. and Craig, B. (2006) Chapter 15 (Non-parametric tests) of Introduction to the practice of statistics, 6^th Ed. WH Freeman

Morrow, J. (2013) Nonsymmetric eigenvalue problems, University of Washington
https://www.math.washington.edu/~morrow/498_13/eigenvalues.pdf

Moultan, M. H. (2003) Rasch estimation demonstration spreadsheet
https://www.rasch.org/moulton.htm

Muelaner, J. (2015) Gage repeatability and reproducibility (Gage R&R) in an Excel spreadsheet
http://www.muelaner.com/quality-assurance/gage-r-and-r-excel/

National Institute of Standards and Technology (2012) Engineering statistics handbook http://www.itl.nist.gov/div898/handbook/

Nau, R. (2014) Forecasting with moving averages. Duke University
https://www.academia.edu/28074627/Notes_on_forecasting_with_moving_averages_Robert_Nau

NCSS (2016) Deming regression
https://www.ncss.com/wp-content/themes/ncss/pdf/Procedures/NCSS/Deming_Regression.pdf

NCSS/PASS (2015) Confidence intervals for coefficient alpha. Sample size documentation
https://www.ncss.com/wp-content/themes/ncss/pdf/Procedures/PASS/Confidence_Intervals_for_Coefficient_Alpha.pdf

Newbold, P., Carlson, W. L., Thorne, B. (2010) Statistics for business and economics, 7^th Ed., Pearson

North Carolina School of Science and Mathematics (2007) Hypothesis testing and power with the binomial distribution

NtRAND (2020) Truncated normal distribution
https://www.ntrand.com/truncated-normal-distribution/

Nussbaum, E. M., Elsadat, S., Khago, A. H. (2007) Best practices in evaluating count data, Chapter 21: Poisson regression.
http://www.academia.edu/4387460/BEST_PRACTICES_IN_ANALYZING_COUNT_DATA_Poisson_Regression

Nydick, S.W. (2012) The relationship between Spearman-Brown and Cronbach’s alpha

Office of Educational Assessment (2016) Understanding item analysis. University of Washington
http://www.washington.edu/assessment/scanning-scoring/scoring/reports/item-analysis/

Ovais, M. (2012) AnaStats: Excel spreadsheet for Shapiro-Wilk
http://www.anastats.fr/outils.php

Owen, C. B. (2008) Parameter estimation for the beta distribution. Brigham Young University
http://scholarsarchive.byu.edu/etd/1614/

Pace, L. (2011) Statistical analysis using Excel 2007. Pearson Educational, Prentice Hall.

Panchecko, D. (2006) Statistics for applications, MIT Open Courseware
https://ocw.mit.edu/courses/18-443-statistics-for-applications-fall-2006/pages/lecture-notes/

Park, T. (2003) A note on terse coding of Kaiser’s Varimax rotation using complex number representation.

Patil, V. and Kulkarni, H. (2012) Comparison of confidence intervals for the Poisson mean: some new aspects. REVSTAT Statistical Journal, Vol 10. No. 2. June 2012. 211-227
http://www.ine.pt/revstat/pdf/rs120203.pdf

Patunru, A. A. (2004) Chicken vs. Eggs: Replicating Thurman and Fisher (1988) Department of Economics, University of Indonesia.
web.pdx.edu/~crkl/ec571/eggs.pdf

Peduzzi, P., Concato, J., Kemper, E., Holford, T., Feinstein, A. (1996) A simulation study of the number of events per variable in logistic regression analysis. Journal of Clinical Epidemiology 49:1373-1379.

Peltier Technical Services. http://peltiertech.com/

Penn State University (2013) STAT 504: Analysis of discrete data (course notes) 
https://onlinecourses.science.psu.edu/stat504/

Penn State University (2013) STAT 505: Applied multivariate statistical analysis (course notes) https://onlinecourses.science.psu.edu/stat505/

Penn State University (2014) STAT 414/415: Intro to probability theory and mathematical statistics (course notes)
https://onlinecourses.science.psu.edu/stat414/

Penn State University (2014) STAT 501: Regression methods (course notes)
https://newonlinecourses.science.psu.edu/stat501/

Penn State University (2018) STAT 503: Design of experiments (course notes)
https://online.stat.psu.edu/stat503/

Pereira, D. G., Afonso, A., Medeiros, F. M. (2015) Overview of Friedman’s test and post-hoc analysis. Communications in Statistics: Simulation and Computation, 44:10, 2636-2653.
http://dx.doi.org/10.1080/03610918.2014.931971

Perry, W. (2006) Linear algebra (course notes). Texas A&M University.
No longer available online

Pesaran, M. H. and Timmermann, A. (1992) A simple nonparametric test of predictive performance. Journal of Business & Economic Statistics, Vol. 10, No. 4 (Oct. 1992), pp. 461-465

Pettitt, A.N. (1976) A two-sample Anderson-Darling rank statistic. Biometrika (1976) 63 (1): 161-168
https://academic.oup.com/biomet/article/63/1/161/236401/A-two-sample-Anderson-Darling-rank-statistic

Pohlert, T. (2016) The pairwise multiple comparisons of mean ranks package (PMCMR), R package
https://cran.r-project.org/web/packages/PMCMR/PMCMR.pdf

Pollock, D. S (1996) Mathematical statistics. University of Leicester
http://www.le.ac.uk/users/dsgp1/COURSES/MATHSTAT/6normgf.pdf

Quick, C. (2013) Multivariate multiple regression with applications to powerlifting data, University of Minnesota Duluth

Ramana, P. V. (2016) Gage Repeatability and Reproducibility (R&R)
No longer available online

Ratitch, B., Lipkovich, I., Kelly, M. (2013) Combining analysis results from multiply imputed categorical data, PharmaSUG 2013 – Paper SP03

Rencher, A.C. (2002) Methods of multivariate analysis (2nd Ed). Wiley-Interscience, New York.

Ripley, B. D. (2002) Applications of general linear models, Introduction to Statistical Modelling, University of Oxford
http://www.stats.ox.ac.uk/pub/bdr/IAUL/ModellingLecture6.pdf

Roscoe, J. (1975). Fundamental research statistics for the behavioral sciences (2^nd ed.). Holt, Reinhart and Winston.

Ross, S. (2015) What are some of the uses of the coefficient of variation (COV)? Investopedia
http://www.investopedia.com/ask/answers/052015/what-are-some-uses-coefficient-variation-cov.asp

Royston, J. P. (1992) Approximating the Shapiro-Wilk W-test for non-normality, Statistics and Computing, vol. 2, pp. 117-119.

Runt, R. (2001) How to write tests, Education 3604, University of Lethbridge

SAS (2015) SAS documentation http://support.sas.com/documentation/

Schafer, J.L. and Olsen, M.K. (1998) Multiple imputation for multivariate missing-data problems: a data analyst’s perspective, Penn State University
https://pubmed.ncbi.nlm.nih.gov/26753828/

Schmuller, J. (2009) Statistical analysis with Excel for dummies. Wiley
https://www.wiley.com/en-us/Statistical+Analysis+with+Excel+For+Dummies%2C+3rd+Edition-p-9781118464311

Scott, D.W. (1979) On optimal and data-based histograms. Biometrika, 66, 605-610

Seber, G.A.F. (1984) Multivariate observations. Wiley, New York.

Seigrist, K. (2017) Random
https://www.randomservices.org/random/

Shapiro, S.S. & Wilk, M.B. (1965) An analysis of variance for normality (complete samples). Biometrika, Vol. 52, No. 3/4.
http://webspace.ship.edu/pgmarr/Geo441/Readings/Shapiro%20and%20Wilk%201965%20-%20An%20Analysis%20of%20Variance%20Test%20for%20Normality.pdf

Shrout, P .E. and Fleiss, J. L. (1979) Intraclass correlations: Uses in assessing rater reliability. Psychol. Bull., 86: 420-428.
https://www.aliquote.org/cours/2012_biomed/biblio/Shrout1979.pdf

Sloop, R. (2009) Understand Gage R&R, Quality Magazine
http://www.qualitymag.com/articles/86819-understand-gage-r-r

SOCR Statistics (2007) General Advance-Placement (AP) statistics curriculum: Gamma distribution, UCLA
http://wiki.stat.ucla.edu/socr/index.php/AP_Statistics_Curriculum_2007_Gamma

Stack Exchange (2016) Ways of comparing linear regression intercepts and slopes
https://stats.stackexchange.com/questions/232040/ways-of-comparing-linear-regression-interepts-and-slopes

Stanford University (2012) Critical values for the Durbin-Watson test, Econometric benchmarks
Removed from the Internet

Statistics Online Computational Resource (SOCR) (2007), Alternative tests of variance homogeneity http://www.socr.ucla.edu/

STATA (2015) power and sample size reference manual release 13
http://www.stata.com/manuals13/pss.pdf

STATA (2017) manuals release 15
https://www.stata.com/features/documentation

StatLib (1995) Applied statistics algorithm for Shapiro-Wilk http://lib.stat.cmu.edu/apstat/R94

Steier, J. F. and Fouladi, R. T. (1997) Noncentrality interval estimation and the evaluation of statistical models
http://www.statpower.net/Steiger%20Biblio/Steiger&Fouladi97.PDF

Stephens, L. J. (2004). Advanced statistics demystified, McGraw Hill.

Stephens, M. A. (1974) EDF statistics for goodness of fit. Journal of the American Statistical Association, v.69, p.730-737.

Stephens, M.A. (1979) The Anderson-Darling statistic. Technical Report No. 39. Stanford University. https://archive.org/details/DTIC_ADA079807/page/n19/mode/2up

Stevens, J. (2002) Applied multivariate statistics for the social sciences (4th edition). Lawrence Erlbaum Associates. Mahwah, NJ

Stricker, D. (2016) Brightstat nonparametric tests
https://secure.brightstat.com/index.php?p=c&d=1&c=2

Taboga, M. (2010) Lectures on probability and statistics, http://www.statlect.com

Takahashi, S. (2011) Heteroskedasticity (Lecture 10), International University of Japan

Tan, P., Steinbach, M. and Kumar, V. (2006) Introduction to data mining, Chapter 8, Pearson

Teixeira, A., Rosa, A. and Calapez, T. (2009) Statistical power analysis with Microsoft Excel: Normal tests for one or two means as a prelude to using non-central distributions to calculate power. Journal of Statistics Education.
https://eric.ed.gov/?id=EJ841534

Telke, S. (2013) Chi-square test and McNemar’s test. Pub H6414: Biostatistical Methods I, University of Minnesota

Templin, J. (2005) MANOVA, Lecture 5
No longer available online

Thorne, J. & Giesen, J.M. (2003) Statistics for the behavioral sciences (4^th ed.). New York: McGraw Hill.

Tibshirani, R. (2013) Model selection and validation 2: Model assessment, more cross-validation. Data Mining 36-462/36-662.
www.stat.cmu.edu/~ryantibs/datamining/lectures/19-val2.pdf

Tijms, H. (2007) Understanding probability: chance rules in everyday life (2^nd ed.). Cambridge: Cambridge University Press.

Timm, N. H. (2002) Applied multivariate analysis. Springer.

Triacca, U. (2016) Lesson19: comparing predictive accuracy of two forecasts: the Diebold-Mariano test.
https://docplayer.net/21167781-Lesson19-comparing-predictive-accuracy-of-two-forecasts-th-diebold-mariano-test.html

Tsay, R.S. (2016) Applied Multivariate Analysis

Tukey, J. (1949) Comparing individual means in the analysis of variance. Biometrics, 5, 99-114.

Uebersax, J. (2006) Intraclass correlation and related methods.
http://www.john-uebersax.com/stat/icc.htm

Uebersax, J. (2010) Statistical methods for rater and diagnostic agreement
http://john-uebersax.com/stat/agree.htm#recs

Uebersax, J. S. (2015) Introduction to the Tetrachoric and Polychoric Correlation Coefficients
http://www.john-uebersax.com/stat/tetra.htm

UNISTAT (2015) Kruskal-Wallis One-way ANOVA
https://www.unistat.com/guide/nonparametric-tests-kruskal-wallis-one-way-anova/

van Wieringen, W. N. (2015) Lecture notes on Ridge regression
https://arxiv.org/abs/1509.09169

VOSE Software (2017) PERT distribution
https://www.vosesoftware.com/riskwiki/PERTdistribution.php

Walczak, B., Massart, (2001) Dealing with missing data: Part II. Chemometrics and Intelligent Laboratory Systems 58:2001. 29-42

Wald, A. & Wolfowitz, J. (1940) On a test whether two samples are from the same population. Ann. Math Statist. 11, 147-162.
http://projecteuclid.org/download/pdf_1/euclid.aoms/1177731909

Walkenbach, J. (2007) Microsoft Office Excel 2007 Bible. Wiley.

Walkenbach, J. (2010) Microsoft Office Excel 2010 Bible. Wiley.

Walkenbach, J. (2007) Microsoft Office Excel 2007 Charts. Wiley.

Wall, J. V. (2014) Test for comparisons of two independent samples. Practical statistics for astronomers.
https://ned.ipac.caltech.edu/level5/Wall2/Wal4_3.html

Warren, H. (2007) Forecast time series within Excel
https://www.scribd.com/document/186725027/Forecastingtime-Series

Weber, R. (2007) Time Series, Cambridge University
No longer available online

Weisstein, E. W. (2018) Cubic formula, Mathworld, a Wolfram web resource
http://mathworld.wolfram.com/CubicFormula.html

Wessel, P. (2014) Critical values for the two-sample Kolmogorov-Smirnov test (2-sided), University Hawaii at Manoa (SOEST)
https://www.webdepot.umontreal.ca/Usagers/angers/MonDepotPublic/STT3500H10/Critical_KS.pdf

Westfall, P. (2014) Kurtosis as peakedness, 1905 – 2014, R.I.P. Am. Stat. 2014; 68 (3), 191-195.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4321753/pdf/nihms-599845.pdf

Wheeler, A. P. (2016) Testing the equality of two regression coefficients
https://andrewpwheeler.com/2016/10/19/testing-the-equality-of-two-regression-coefficients/

Wikipedia (2012-2018) http://en.wikipedia.org/wiki

Williams, E. J. (1959) The comparison of regression variables. Journal of the Royal Statistical Society (Series B), 21, 396-399

Williams, R. (2004) Standardized coefficients, Sociology Graduate Statistics 1, University of Notre Dame. No longer available online

Wilson, E. B. (1927) Probable inference, the law of succession, and statistical inference. Journal of the American Statistical Association. 22: 209-212.

Winkler, A. M. (2011) Normality tests I: Brief overview
https://brainder.org/2011/07/03/normality-tests-i/

Wobbrock, J. O., Findlater, L., Gergle, D., Higgins, J. J. (2011) The Aligned Rank Transform for Nonparametric Factorial Analyses Using Only ANOVA Procedures. Conference: Proceedings of the International Conference on Human Factors in Computing Systems, CHI 2011, Vancouver, BC, Canada
http://dx.doi.org/10.1145/1978942.1978963

Wolverton, S. (2009) Chi-square tests of independence and goodness of fit. Department of Geography and the Environment, University of North Texas
Webpage no longer active

Wright, B. D. and Stone, M. H. (1979) Best test design. MESA Press: Chicago, IL
https://research.acer.edu.au/measurement/1/

Wright, B. and Stone, M. (1999) Measurement essentials, 2^nd Ed.
https://www.rasch.org/measess/

Wu, S. J. (2002) Estimations of the parameters of the Weibull distribution with progressively censored data. Journal of Japan Statistical Society, vol 32. n. 2, 155-163
http://dx.doi.org/10.14490/jjss.32.155

Wuensch, K. (2012) Principal component analysis in SPSS

Wuensch, K. (2015) Biserial correlation coefficients
No longer available online

Yamano, T. (2010) Lecture 4: Multivariate regression model in matrix form, Lecture Notes on Advanced Econometrics
https://www.yumpu.com/en/document/view/22993400/lecture-4-multivariate-regression-model-in-matrix-form

Zaiontz, C. (2018) Real statistical analysis using Excel. www.real-statistics.com.

Zaiontz, C. (2018) Real multivariate statistical analysis using Excel. www.real-statistics.com.

Zaiontz, C. (2018) Real time series statistical analysis using Excel. www.real-statistics.com.

Zar. J. H. (2010) Biostatistical analysis 5^th Ed. Pearson

Zhu, M. Y. (2005) Latin square and related design. Statistics 514: Design and Analysis of Experiments, Purdue University
http://www.stat.purdue.edu/~yuzhu/stat514s05/Lecnot/latinsquares05.pdf

Zimmerman, D. W., Zumbo, B. D., Williams, R. H. (2003) Bias in estimation and hypothesis testing of correlation. Psicologica 24. pp 133-158.
www.uv.es/revispsi/articulos1.03/9.ZUMBO.pdf

Zornoza, J. (2020) Distance metric for machine learning. Aigents
https://aigents.co/data-science-blog/publication/distance-metrics-for-machine-learning

Zou, G. Y. (2007) Toward using confidence intervals to compare correlations. Psychological Methods, 12, 399-413. See his Excel spreadsheet at:
https://seriousstats.files.wordpress.com/2012/02/zou-2007-differences-in-r-master.xls