Convergence of Probability Measures / Edition 2

by Patrick Billingsley

Overview

A new look at weak-convergence methods in metric spaces-from a master of probability theory In this new edition, Patrick Billingsley updates his classic work Convergence of Probability Measures to reflect developments of the past thirty years. Widely known for his straightforward approach and reader-friendly style, Dr. Billingsley presents a clear, precise, up-to-date account of probability limit theory in metric spaces. He incorporates many examples and applications that illustrate the power and utility of this theory in a range of disciplines-from analysis and number theory to statistics, engineering, economics, and population biology. With an emphasis on the simplicity of the mathematics and smooth transitions between topics, the Second Edition boasts major revisions of the sections on dependent random variables as well as new sections on relative measure, on lacunary trigonometric series, and on the Poisson-Dirichlet distribution as a description of the long cycles in permutations and the large divisors of integers. Assuming only standard measure-theoretic probability and metric-space topology, Convergence of Probability Measures provides statisticians and mathematicians with basic tools of probability theory as well as a springboard to the "industrial-strength" literature available today.

Product Details

ISBN-13:	9780471197454
Publisher:	Wiley
Publication date:	07/30/1999
Series:	Wiley Series in Probability and Statistics , #316
Edition description:	REV
Pages:	304
Product dimensions:	6.45(w) x 9.65(h) x 0.85(d)

About the Author

PATRICK BILLINGSLEY, PhD, is Professor of Mathematics and Statistics at the University of Chicago. His book, Probability and Measure, Third Edition, is also available from Wiley.

Table of Contents

Weak Convergence in Metric Spaces.

The Space C.

The Space D.

Dependent Variables.

Other Modes of Convergence.

Appendix.

Some Notes on the Problems.

Bibliographical Notes.

Bibliography.

Index.

What People are Saying About This

From the Publisher

The book is a classic—it is almost an insult to review it. This second edition will, probably and rightly, be urged on today's research students by their predecessors, now their supervisors, who derived so much from the first edition. As the author says, 30 years ago the book would take the aspiring researcher to the forefront. Now, with the huge development over these years, it just provides an initial grounding, though no less essential. (The Statistician 49 (3) 2000)

...it seems destined to become another clasic and is of interest even to those who already own the first edition. (Zentralblatt Math, Volume 944, No 19, 2000)

Editorial Reviews

The book is a classic—it is almost an insult to review it. This second edition will, probably and rightly, be urged on today's research students by their predecessors, now their supervisors, who derived so much from the first edition. As the author says, 30 years ago the book would take the aspiring researcher to the forefront. Now, with the huge development over these years, it just provides an initial grounding, though no less essential. (The Statistician 49 (3) 2000)

...it seems destined to become another clasic and is of interest even to those who already own the first edition. (Zentralblatt Math, Volume 944, No 19, 2000)

From the Publisher

The book is a classic—it is almost an insult to review it. This second edition will, probably and rightly, be urged on today's research students by their predecessors, now their supervisors, who derived so much from the first edition. As the author says, 30 years ago the book would take the aspiring researcher to the forefront. Now, with the huge development over these years, it just provides an initial grounding, though no less essential.

Statistician

...it seems destined to become another clasic and is of interest even to those who already own the first edition.

Zentralblatt Math

Billingsley (University of Chicago) presents weak-convergence methods in metric spaces, with applications that illustrate the power and utility of the probability limit theory in such disciplines as number theory, economics, and population biology. The updated edition adds new sections on relative measure, lacunary trigonometric series, and the Poisson-Dirichlet distribution. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Booknews