A Chronicle of Permutation Statistical Methods: 1920-2000, and Beyond

Preface.- 1.Introduction.- 2.1920-1939.- 2.1.Overview of Chapter 2.- 2.2.Neyman-Fisher-Geary and the Beginning.- 2.3.Fisher and the Variance-ratio Statistic.- 2.4.Eden-Yates and Non-normal Data.- 2.5.Fisher and 2 by 2 Contingency Tables.- 2.6 Yates and the Chi-squared Test for Small Samples.- 2.7.Irwin and Fourfold Contingency Tables.- 2.8.The Rothamsted Manorial Estate.- 2.9.Fisher and the Analysis of Darwin's Zea mays Data.- 2.10.Fisher and the Coefficient of Racial Likeness.- 2.11.Hotelling-Pabst and Simple Bivariate Correlation.- 2.12.Friedman and Analysis of Variance for Ranks.- 2.13.Welch's Randomized Blocks and Latin Squares.- 2.14.Egon Pearson on Randomization.- 2.15.Pitman and Three Seminal Articles.- 2.16.Welch and the Correlation Ratio.- 2.17.Olds and Rank-order Correlation.- 2.18.Kendall and Rank Correlation.- 2.19.McCarthy and Randomized Blocks.- 2.20.Computing and Calculators.- 2.21.Looking Ahead.- 3.1940-1959.- 3.1.Overview of Chapter 3.- 3.2.Development of Computing.- 3.3.Kendall-Babington Smith and Paired Comparisons.- 3.4.Dixon and a Two-sample Rank Test.- 3.5.Swed-Eisenhart and Tables for the Runs Test.- 3.6.Scheff´e and Non-parametric Statistical Inference.- 3.7.Wald-Wolfowitz and Serial Correlation.- 3.8.Mann and a Test of Randomness Against Trend.- 3.9.Barnard and 2 by 2 Contingency Tables.- 3.10.Wilcoxon and the Two-sample Rank-sum Test.- 3.11.Festinger and the Two-sample Rank-sum Test.- 3.12.Mann-Whitney and a Two-sample Rank-sum Test.- 3.13.Whitfield and a Measure of Ranked Correlation.- 3.14.Olmstead-Tukey and the Quadrant-sum Test.- 3.15.Haldane-Smith and a Test for Birth-order Effects.- 3.16.Finney and the Fisher-Yates Test for 2 by 2 Tables.- 3.17.Lehmann-Stein and Non-parametric Tests.- 3.18 Rank-order Statistics.- 3.19.van der Reyden and a Two-sample Rank-sum Test.-3.20.White and Tables for the Rank-sum Test.- 3.21.Other Results for the Two-sample Rank-sum Test.- 3.22.David-Kendall-Stuart and Rank-order Correlation.- 3.23.Freeman-Halton and an Exact Test of Contingency.- 3.24.Kruskal-Wallis and the C-sample Rank-sum Test.- 3.25.Box-Andersen and Permutation Theory.- 3.26.Leslie and Small Contingency Tables.- 3.27.A Two-sample Rank Test for Dispersion.- 3.28.Dwass and Modified Randomization Tests.- 3.29.Looking Ahead.- 4.1960-1979.- 4.1.Overview of Chapter 4.- 4.2.Development of Computing.- 4.3 Permutation Algorithms and Programs.- 4.4.Ghent and the Fisher-Yates Exact Test.- 4.5.Programs for Contingency Table Analysis.- 4.6.Siegel-Tukey and Tables for the Test of Variability.- 4.7 .Other Tables of Critical Values.- 4.8.Edgington and Randomization Tests.- 4.9.The Matrix Occupancy Problem.- 4.10.Kempthorne and Experimental Inference.- 4.11.Baker-Collier and Permutation F Tests 4.12.Permutation Tests in the 1970s.- 4.13.Feinstein and Randomization.- 4.14.The Mann-Whitney, Pitman, and Cochran Tests.- 4.15.Mielke-Berry-Johnson and MRPP.- 4.16.Determining the Number of Contingency Tables.- 4.17.Soms and the Fisher Exact Permutation Test.- 4.18.Baker-Hubert and Ordering Theory.- 4.19.Green and Two Permutation Tests for Location.- 4.20.Agresti-Wackerly-Boyett and Approximate Tests.- 4.21.Boyett and Random R by C Tables.- 4.22.Looking Ahead.- 5.1980-2000.- 5.1.Overview of Chapter 5.- 5.2.Development of Computing.- 5.3.Permutation Methods and Contingency Tables.- 5.4.Yates and 2 by 2 Contingency Tables.- 5.5.Mehta-Patel and a Network Algorithm.- 5.6.MRPP and the Pearson type III Distribution.- 5.7.MRPP and Commensuration.- 5.8.Tukey and Re randomization.- 5.9.Matched-pairs Permutation Analysis.- 5.10.Subroutine PERMUT.- 5.11.Moment Approximations and the F Test.- 5.12.Mielke-Iyer and MRBP.- 5.13.Relationships of MRBP to Other Tests.- 5.14.Kappa and the Measurement of Agreement.- 5.15.Basu and the Fisher Randomization Test.- 5.16.Still-White and Permutation Analysis of Variance.- 5.17.Walters and the Utility of Resampling Methods.- 5.18.Conover-Iman and Rank Transformations.- 5.19.Green and Randomization Tests.- 5.20.Gabriel-Hall and Re randomization Inference.- 5.21.Pagano-Tritchler and Polynomial-time Algorithms.- 5.22.Welch and a Median Permutation Test.- 5.23.Boik and the Fisher-Pitman Permutation Test.- 5.24.Mielke-Yao Empirical Coverage Tests.- 5.25.Randomization in Clinical Trials.- 5.26.The Period From 1990 to 2000.- 5.27.Algorithms and Programs.- 5.28.Page-Brin and Google.- 5.29.Spino-Pagano and Trimmed/Winsorized Means.- 5.30.May-Hunter and Advantages of Permutation Tests.- 5.31.Mielke-Berry and Tests for Common Locations.- 5.32.Kennedy-Cade and Multiple Regression.- 5.33.Blair et al. and Hotelling's T2 Test.- 5.34.Mielke-Berry-Neidt and Hotelling's T2 Test.- 5.35.Cade-Richards and Tests for LAD Regression.- 5.36.Walker-Loftis-Mielke and Spatial Dependence.- 5.37.Frick on Process-based Testing.- 5.38.Ludbrook-Dudley and Biomedical Research.- 5.39.The Fisher Z Transformation.- 5.40.Looking Ahead.- 6.Beyond 2000.- 6.1.Overview of Chapter 6.- 6.2.Computing After Year 2000.- 6.3.Books on Permutation Methods.- 6.4.A Summary of Contributions by Publication Year.- 6.5.Agresti and Exact Inference for Categorical Data.- 6.6.The Unweighted Kappa Measure of Agreement.- 6.7.Mielke et al. and Combining Probability Values.- 6.8.Legendre and Kendall's Coefficient of Concordance.- 6.9.The Weighted Kappa Measure of Agreement.- 6.10.Berry et al. and Measures of Ordinal Association.- 6.11.Resampling for Multi-way Contingency Tables.- 6.12.Mielke-Berry and a Multivariate Similarity Test.- 6.13.Cohen's Weighted Kappa With Multiple Raters.- 6.14.Exact Variance of Weighted Kappa.- 6.15.Campbell and Two-by-two Contingency Tables.- 6.16.Permutation Tests and Robustness.- 6.17.Advantages of the Median for Analyzing Data.- 6.18.Consideration of Statistical Outliers.- 6.19.Multivariate Multiple Regression Analysis.- 6.20.O'Gorman and Multiple Linear Regression.- 6.21.Brusco-Stahl-Steinley and Weighted Kappa.- 6.22.Mielke et al. and Ridit Analysis.- 6.23.Knijnenburg et al. and Probability Values.- 6.24.Reiss et al. and Multivariate Analysis of Variance.- 6.25.A Permutation Analysis of Trend.- 6.26.Curran-Everett and Permutation Methods.- Epilogue.- References.- Acronyms.- Name Index.- Subject Index.