A Chronicle of Permutation Statistical Methods by Janis E Johnston
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A Chronicle of Permutation Statistical Methods

A Chronicle of Permutation Statistical Methods


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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 Tra
About the Author:

Kenneth J. Berry is Professor of Sociology at Colorado State University.

Janis E. Johnston is a Social Science Policy Analyst with the United States government in Washington, D.C.

Paul W. Mielke, Jr. is Professor Emeritus of Statistics at Colorado State University and Fellow of the American Statistical Association.


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Product Details
  • ISBN-13: 9783319027432
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Depth: 32
  • Height: 234 mm
  • No of Pages: 517
  • Series Title: English
  • Sub Title: 1920–2000, and Beyond
  • Width: 156 mm
  • ISBN-10: 3319027433
  • Publisher Date: 25 Apr 2014
  • Binding: Hardback
  • Edition: 2014 ed.
  • Language: English
  • Returnable: Y
  • Spine Width: 30 mm
  • Weight: 979 gr


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