Stochastics : introduction to probability and statistics /

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Bibliographic Details
Author / Creator:Georgii, Hans-Otto.
Uniform title:Stochastik. English
Edition:2nd rev., extended ed.
Imprint:Berlin ; Boston : De Gruyter, ©2012.
Description:1 online resource (ix, 407 pages) : illustrations
Language:English
Series:De Gruyter Textbook
De Gruyter textbook.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12013601
Hidden Bibliographic Details
ISBN:3110293609
9783110293609
9783110292541
3110292548
Notes:Includes bibliographical references (pages 391-394) and index.
Print version record.
Summary:This second revised and extended edition presents the fundamental ideas and results of both, probability theory and statistics, and comprises the material of a one-year course. It is addressed to students with an interest in the mathematical side of stochastics. Stochastic concepts, models and methods are motivated by examples and developed and analysed systematically. Some measure theory is included, but this is done at an elementary level that is in accordance with the introductory character of the book. A large number of problems offer applications and supplements to the text.
Other form:Print version: 9783110292541 3110292548
Review by Choice Review

This well-written, informative book dealing with stochastics, the "mathematics of chance," addresses topics appropriate for a one-year course in probability and statistics. A translation of the third edition of the German work Stochastik (2007), it is quite suitable for students studying mathematics, statistics, science, and computer science. Georgii (Univ. of Munich, Germany) suggests that stochastics is currently very appealing in the disciplines noted because of the interesting relationships that exist between mathematical precision and mathematical applications. The book is divided into two major sections, probability theory and statistics. Some of the topics addressed include the Poisson, normal, and uniform distributions; the Markov property; Bayes estimators; Neyman-Pearson tests; and analysis of variance. Problems are included at the end of each chapter. Tables, references, and a list of notations augment the text. Summing Up: Highly recommended. Upper-division undergraduate through professional collections. D. J. Gougeon University of Scranton

Copyright American Library Association, used with permission.
Review by Choice Review