Breakthroughs in Statistics

1. Front Matter

   Pages i-xxi

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2. Introduction to Pearson (1900) On the Criterion that a Given System of Deviations from the Probable in the Case of a Correlated System of Variables is Such that it Can be Reasonably Supposed to have Arisen from Random Sampling

   • G. A. Barnard

   Pages 1-10

3. On the Criterion that a Given System of Deviations from the Probable in the Case of a Correlated System of Variables is Such that it Can be Reasonably Supposed to have Arisen from Random Sampling

   • Karl Pearson

   Pages 11-28

4. Introduction to Student (1908) The Probable Error of a Mean

   • E. L. Lehmann

   Pages 29-32

5. The Probable Error of a Mean

   • Student

   Pages 33-57

6. Introduction to Fisher (1925) Statistical Methods for Research Workers

   • S. C. Pearce

   Pages 59-65

7. Statistical Methods for Research Workers

   • R. A. Fisher

   Pages 66-70

8. Introduction to Fisher (1926) The Arrangement of Field Experiments

   • T. P. Speed

   Pages 71-81

9. The Arrangement of Field Experiments

   • R. A. Fisher

   Pages 82-91

10. Introduction to Kolmogorov (1933) On the Empirical Determination of a Distribution

    • M. A. Stephens

    Pages 93-105

11. On the Empirical Determination of a Distribution Function

    • A. Kolmogorov

    Pages 106-113

12. Introduction to Neyman (1934) On the Two Different Aspects of the Representative Method: The Method of Stratified Sampling and the Method of Purposive Selection

    • T. Dalenius

    Pages 115-122

13. On the Two Different Aspects of the Representative Method: the Method of Stratified Sampling and the Method of Purposive Selection

    • Jerzy Neyman

    Pages 123-150

14. Introduction to Hotelling (1936) Relations Between Two Sets of Variates

    • T. W. Anderson

    Pages 151-161

15. Relations Between Two Sets of Variates

    • Harold Hotelling

    Pages 162-190

16. Introduction to Wilcoxon (1945) Individual Comparisons by Ranking Methods

    • G. E. Noether

    Pages 191-195

17. Individual Comparisons by Ranking Methods

    • Frank Wilcoxon

    Pages 196-202

18. Introduction to Mosteller (1946) On Some Useful “Inefficient” Statistics

    • H. A. David

    Pages 203-208

19. On Some Useful “Inefficient” Statistics

    • Frederick Mosteller

    Pages 209-228

20. Introduction to Durbin and Watson (1950, 1951) Testing for Serial Correlation in Least Squares Regression. I, II

    • Maxwell L. King

    Pages 229-236

• Outlook
• Statistica
• Volume
• correlation
• data analysis
• distribution
• form
• generalized linear model
• information
• knowledge
• likelihood
• philosophy
• statistical theory
• statistics
• techniques

"It may be risky to recommend that everyone should own this book... but I take that risk. Not only should we have it in our personal libraries, but we should loan it to our students. They will use it the same way we do, beginning with the famous masterpieces, then reading introductions of works they may not have seen before, and finally reading the papers..." (Journal of the Am. Statistical Assoc.)

• College of Business and Management, University of Maryland at College Park, College Park, USA

  Samuel Kotz

• Department of Statistics Phillips Hall, The University of North Carolina at Chapel Hill, Chapel Hill, USA

  Norman L. Johnson

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