http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
1 online resource (ix, 277 pages) : illustrations
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, en.
Convergence of Probability Measures; CONTENTS; Introduction; Chapter 1. Weak convergence in Metric Spaces; Chapter 2. The Space C; Chapter 3. The Space D; Chapter 4. Dependent Variables; Chapter 5. Other Modes of Convergence; Appendix M; Some Notes on the Problems; Bibliographical Notes; Bibliography; Index.
Includes bibliographical references (pages 270-274) and indexes.