Breakthroughs in Statistics

Methodology and Distribution

  • Samuel Kotz
  • Norman L. Johnson
Book

Part of the Springer Series in Statistics book series (SSS)

Table of contents

  1. Front Matter
    Pages i-xxi
    PDF
  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

About this book

Keywords

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

Editors and affiliations

  • Samuel Kotz
    • 1
  • Norman L. Johnson
    • 2
  1. 1.College of Business and ManagementUniversity of Maryland at College ParkCollege ParkUSA
  2. 2.Department of Statistics Phillips HallThe University of North Carolina at Chapel HillChapel HillUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-4380-9
  • Copyright Information Springer-Verlag New York 1992
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-387-94039-7
  • Online ISBN 978-1-4612-4380-9
  • Series Print ISSN 0172-7397
  • About this book