Contributions to Probability and Statistics

Essays in Honor of Ingram Olkin

  • Leon Jay Gleser
  • Michael D. Perlman
  • S. James Press
  • Allan R. Sampson

Table of contents

  1. Front Matter
    Pages i-x
  2. An Appreciation

    1. Front Matter
      Pages 1-1
    2. Leon Jay Gleser, Michael D. Perlman, S. James Press, Allan R. Sampson
      Pages 3-5
    3. Leon Jay Gleser, Michael D. Perlman, S. James Press, Allan R. Sampson
      Pages 7-33
    4. Leon Jay Gleser, Michael D. Perlman, S. James Press, Allan R. Sampson
      Pages 35-48
  3. Contributions to Probability and Statistics

    1. Front Matter
      Pages 49-49
    2. Probability Inequalities and Characterizations

      1. Gavin Brown, Larry Shepp
        Pages 51-57
      2. Wai Chan, Dong Ho Park, Frank Proschan
        Pages 58-62
      3. Somesh Das Gupta, Subir Kumar Bhandari
        Pages 63-74
      4. M. L. Eaton, L. J. Gleser
        Pages 75-90
      5. Albert W. Marshall
        Pages 99-106
      6. Joseph S. Verducci
        Pages 160-173
    3. Multivariate Analysis and Association

About this book

Introduction

Published in honor of the sixty-fifth birthday of Professor Ingram Olkin of Stanford University. Part I contains a brief biography of Professor Olkin and an interview with him discussing his career and his research interests. Part II contains 32 technical papers written in Professor Olkin's honor by his collaborators, colleagues, and Ph.D. students. These original papers cover a wealth of topics in mathematical and applied statistics, including probability inequalities and characterizations, multivariate analysis and association, linear and nonlinear models, ranking and selection, experimental design, and approaches to statistical inference. The volume reflects the wide range of Professor Olkin's interests in and contributions to research in statistics, and provides an overview of new developments in these areas of research.

Keywords

Estimator Factor analysis Likelihood Random variable Variance best fit cluster analysis correlation linear regression statistics

Editors and affiliations

  • Leon Jay Gleser
    • 1
  • Michael D. Perlman
    • 2
  • S. James Press
    • 3
  • Allan R. Sampson
    • 4
  1. 1.Department of StatisticsPurdue UniversityWest LafayetteUSA
  2. 2.Department of StatisticsUniversity of WashingtonSeattleUSA
  3. 3.Department of StatisticsUniversity of CaliforniaRiversideUSA
  4. 4.Department of Mathematics and StatisticsUniversity of PittsburghPittsburghUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-3678-8
  • Copyright Information Springer-Verlag New York 1989
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-8200-6
  • Online ISBN 978-1-4612-3678-8
  • About this book