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Breakthroughs in Statistics

Methodology and Distribution

  • Samuel Kotz
  • Norman L. Johnson
Textbook

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
  21. Testing for Serial Correlation in Least Squares Regression. I
    J. Durbin, G. S. Watson
    Pages 237-259
  22. Testing for Serial Correlation in Least Squares Regression. II
    J. Durbin, G. S. Watson
    Pages 260-266
  23. Introduction to Box and Wilson (1951) On the Experimental Attainment of Optimum Conditions
    Norman R. Draper
    Pages 267-269
  24. On the Experimental Attainment of Optimum Conditions
    G. E. P. Box, K. B. Wilson
    Pages 270-310
  25. Introduction to Kaplan and Meier (1958) Nonparametric Estimation from Incomplete Observations
    N. E. Breslow
    Pages 311-318
  26. Nonparametric Estimation from Incomplete Observations
    E. L. Kaplan, Paul Meier
    Pages 319-337
  27. Introduction to Chernoff (1959) Sequential Design of Experiments
    P. K. Sen
    Pages 339-344
  28. Sequential Design of Experiments
    Herman Chernoff
    Pages 345-360
  29. Introduction to Box and Jenkins (1962) Some Statistical Aspects of Adaptive Optimization and Control
    Edward J. Wegman
    Pages 361-368
  30. Some Statistical Aspects of Adaptive Optimization and Control
    G. E. P. Box, G. M. Jenkins
    Pages 369-401
  31. Introduction to Tukey (1962) The Future of Data Analysis
    Lyle V. Jones
    Pages 403-407
  32. The Future of Data Analysis
    John W. Tukey
    Pages 408-452
  33. Introduction to Birch (1963) Maximum Likelihood in Three-Way Contingency Tables
    Stephen E. Fienberg
    Pages 453-461
  34. Maximum Likelihood in Three-Way Contingency Tables
    Martin W. Birch
    Pages 462-477
  35. Introduction to Huber (1964) Robust Estimation of a Location Parameter
    Frank R. Hampel
    Pages 479-491
  36. Robust Estimation of a Location Parameter
    Peter J. Huber
    Pages 492-518
  37. Introduction to Cox (1972) Regression Models and Life-Tables
    Ross L. Prentice
    Pages 519-526
  38. Regression Models and Life-Tables
    David R. Cox
    Pages 527-541
  39. Introduction to Nelder and Wedderburn (1972) Generalized Linear Models
    P. McCullagh
    Pages 543-546
  40. Generalized Linear Models
    J. A. Nelder, R. W. M. Wedderburn
    Pages 547-563
  41. Introduction to Efron (1979) Bootstrap Methods: Another Look at the Jackknife
    Rudolf J. Beran
    Pages 565-568
  42. Bootstrap Methods: Another Look at the Jackknife
    Bradley Efron
    Pages 569-593
  43. Back Matter
    Pages 595-601
    PDF

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
  • Buy this book on publisher's site