Breakthroughs in Statistics

1. Front Matter

   Pages i-xxv

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2. Introduction to Galton (1889) Co-Relations and Their Measurement, Chiefly from Anthropometric Data

   • Raymond E. Fancher

   Pages 1-16

3. Introduction to McKendrick (1926) Applications of Mathematics to Medical Problems

   • K. Dietz

   Pages 17-57

4. Introduction to Yates and Cochran (1938) The Analysis of Groups of Experiments

   • D. R. Cox

   Pages 59-87

5. Introduction to Rao (1948) Large Sample Tests of Statistical Hypotheses Concerning Several Parameters with Applications to Problems of Estimation

   • Pranab K. Sen

   Pages 89-108

6. Introduction to Cornfield (1951) A Method of Estimating Comparative Rates from Clinical Data. Applications to Cancer of the Lung, Breast, and Cervix

   • Mitchell H. Gail

   Pages 109-122

7. Introduction to Metropolis, Rosenbluth, Rosenbluth, Teller, and Teller (1953) Equations of State Calculations by Fast Computing Machines. J. Chem. Phys.,21, 1087–1092. and Geman and Geman (1984) Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images. IEEE Trans. Pattern Anal. Machine Intelligence,6, 721–741.

   • Peter J. Huber

   Pages 123-139

8. Introduction to Whittle (1953) The Analysis of Multiple Stationary Time Series

   • Matthew Calder, Richard A. Davis

   Pages 141-169

9. Introduction to Daniels (1954) Saddlepoint Approximations in Statistics

   • Elvezio Ronchetti

   Pages 171-200

10. Introduction to Cooley and Tukey (1965) An Algorithm for the Machine Calculation of Complex Fourier Series

    • I. J. Good

    Pages 201-216

11. Introduction to Hájek (1970) A Characterization of Limiting Distributions of Regular Estimates

    • Rudolf J. Beran

    Pages 217-233

12. Introduction to Hastings (1970) Monte Carlo Sampling Methods Using Markov Chains and Their Applications

    • T. L. Lai

    Pages 235-256

13. Introduction to Lindley and Smith (1972) Bayes Estimates for the Linear Model

    • John J. Deely

    Pages 257-284

14. Introduction to Besag (1974) Spatial Interaction and the Statistical Analysis of Lattice Systems

    • Richard L. Smith

    Pages 285-323

15. Introduction to Levit (1974) On the Optimality of Some Statistical Estimates

    • J. F. Pfanzagl

    Pages 325-346

16. Introduction to Aalen (1978) Nonparametric Inference for a Family of Counting Processes

    • Ian W. McKeague

    Pages 347-367

17. Introduction to Morris (1982) Natural Exponential Families with Quadratic Variance Functions

    • G. G. Letac

    Pages 369-394

18. Introduction to Barndorff-Nielsen (1983) On a Formula for the Distribution of the Maximum Likelihood Estimator

    • T. DiCiccio

    Pages 395-431

19. Introduction to Rousseeuw (1984) Least Median of Squares Regression

    • D. G. Simpson

    Pages 433-461

20. Introduction to Liang and Zeger (1986) Longitudinal Data Analysis Using Generalized Linear Models

    • Peter J. Diggle

    Pages 463-482

This is author-approved bcc: This is the third volume of a collection of seminal papers in the statistical sciences written during the past 110 years. These papers have each had an outstanding influence on the development of statistical theory and practice over the last century. Each paper is preceded by an introduction written by an authority in the field providing background information and assessing its influence. Volume III concerntrates on articles from the 1980's while including some earlier articles not included in Volume I and II. Samuel Kotz is Professor of Statistics in the College of Business and Management at the University of Maryland. Norman L. Johnson is Professor Emeritus of Statistics at the University of North Carolina. Also available: Breakthroughs in Statistics Volume I: Foundations and Basic Theory Samuel Kotz and Norman L. Johnson, Editors 1993. 631 pp. Softcover. ISBN 0-387-94037-5 Breakthroughs in Statistics Volume II: Methodology and Distribution Samuel Kotz and Norman L. Johnson, Editors 1993. 600 pp. Softcover. ISBN 0-387-94039-1

• algorithms
• boundary element method
• data analysis
• field
• functions
• generalized linear model
• information
• interaction
• management
• mathematics
• maximum
• Natural
• statistics
• time
• Variance

• Department of Statistics, The George Washington University, 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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