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.