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© 2010

Selected Works of C.C. Heyde

  • Ross Maller
  • Ishwar Basawa
  • Peter Hall
  • Eugene Seneta
Book

Part of the Selected Works in Probability and Statistics book series (SWPS)

Table of contents

  1. Front Matter
    Pages i-xxxvii
  2. C. C. Heyde
    Pages 1-1

About this book

Introduction

This volume is dedicated to the memory of the late Professor C.C. (Chris) Heyde (1939-2008), distinguished statistician, mathematician and scientist. Chris worked at a time when many of the foundational building blocks of probability and statistics were being put in place by a phalanx of eminent scientists around the world. He contributed significantly to this effort and took his place deservedly among the top-most rank of researchers. Throughout his career, Chris maintained also a keen interest in applications of probability and statistics, and in the history of the subject. The magnitude of his impact on his chosen area of research, both in Australia and internationally, was well recognised by the abundance of honours he received within and without the profession. The book is comprised of a number of Chris’s papers covering each one of four major topics to which he contributed. These papers are reproduced herein. The topics, and the papers in them, were selected by four of Chris’s friends and collaborators: Ishwar Basawa, Peter Hall, Ross Maller (overall Editor of the volume) and Eugene Seneta. Each topic is provided with an overview by the selecting editor. The topics cover a range of areas to which Chris made especially important contributions: Inference in Stochastic Processes, Rates of Convergence in the Central Limit Theorem, the Law of the Iterated Logarithm, and Branching Processes and Population Genetics. The Editor and the other contributors to the volume include well known researchers in probability and statistics. The collection begins with an “author’s pick” of a number of his papers which Chris considered most interesting and significant, chosen by him shortly before his death. A biography of Chris by his close friend and collaborator, Joe Gani, is also included. An introduction by the Editor and a comprehensive bibliography of Chris’s publications complete the volume. The book will be of especial interest to researchers in probability and statistics, and in the history of these subjects.

Keywords

Branching process Equivalence Galton-Watson process History of Mathematics Likelihood Martingale Normal distribution Probability theory Random variable Stocha law of the iterated logarithm mathematical statistics statistics stochastic process

Editors and affiliations

  • Ross Maller
    • 1
  • Ishwar Basawa
    • 2
  • Peter Hall
    • 3
  • Eugene Seneta
    • 4
  1. 1.School of Finance & Applied StatisticsAustralian National UniversityCanberraAustralia
  2. 2., Department of StatisticsUniversity of GeorgiaAthensUSA
  3. 3.Dept. Mathematics & StatisticsUniversity of MelbourneMelbourneAustralia
  4. 4., School of Mathematics and StatisticsUniversity of SydneySydneyAustralia

Bibliographic information

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Reviews

From the reviews:

“This work would be a welcome shelf volume for research workers in probability and statistics and should certainly be a reference available in departmental libraries. … offers scientists and scholars the opportunity of assembling and commenting upon major classical works in probability and statistics. … The volume contains 50 original papers, a chronological listing of all publications, as well as individual commentary on particular facets of the research by each of the editors.” (Roger Gay, International Statistical Review, Vol. 79 (2), 2011)

“Each editor provided a nice commentary on their respective topics. … The volume showcased an interesting and informative biography on Heyde and includes a complimentary introduction by the editors and offers a comprehensive bibliography of Heyde’s work. … This is a valuable collection with several useful pieces of statistical and mathematical works and gives the historical developments of such work in their respective fields. Indeed, this collection will be of interest to research scholars in probability, statistics and related fields.” (Technometrics, Vol. 53 (2), May, 2011)