Probability Theory with Applications

M. M. Rao

ISBN 10: 0387277307 / ISBN 13: 9780387277301

Published by Springer US, Springer US Mär 2006, 2006

About this Item

Neuware -This book is a revised and expanded edition of a successful graduate and reference text. The material in the book is designed for a standard graduate course on probability theory, including some important applications. This new edition contains a detailed treatment of the core area of probability, and both structural and limit results are presented in full detail. Compared to the first edition, the material and presentation are better highlighted with several (small and large) alterations made to each chapter. Key features of the book include: Indicating the need for abstract theory even in applications and showing the inadequacy of existing results for certain apparently simple real-world problems Attempting to deal with the existence problems for various classes of random families that figure in the main results of the subject Providing a treatment of conditional expectations and of conditional probabilities that is more complete than in other existing textbooksSince this is a textbook, essentially all proofs are given in complete detail (even at the risk of repetition), and some key results are given multiple proofs when each argument has something to contribute. 548 pp. Englisch.

Seller Inventory # 9780387277301

Bibliographic Details

• Title: Probability Theory with Applications
• Publisher: Springer US, Springer US Mär 2006
• Publication Date: 2006
• Language: English
• ISBN 10: 0387277307
• ISBN 13: 9780387277301
• Binding: Buch
• Edition: 1st Edition
• Condition: Neu
• Dimensions: 240W x 161H x 35D millimeters 240 millimeters width by 161 millimeters height by 35 millimeters depth
• Weight: 981 grams

About this title

Synopsis

This book is a revised and expanded edition of a successful graduate and reference text. The material in the book is designed for a standard graduate course on probability theory, including some important applications. This new edition contains a detailed treatment of the core area of probability, and both structural and limit results are presented in full detail. Compared to the first edition, the material and presentation are better highlighted with several (small and large) alterations made to each chapter. Key features of the book include:

- Indicating the need for abstract theory even in applications and showing the inadequacy of existing results for certain apparently simple real-world problems

- Attempting to deal with the existence problems for various classes of random families that figure in the main results of the subject

- Providing a treatment of conditional expectations and of conditional probabilities that is more complete than in other existing textbooks

Since this is a textbook, essentially all proofs are given in complete detail (even at the risk of repetition), and some key results are given multiple proofs when each argument has something to contribute.

From the Back Cover

Probability Theory and Applications is a revised and expanded edition of a successful graduate and reference text. The material in the book is designed for a standard graduate course on probability theory, including some important applications. This new edition contains a detailed treatment of the core area of probability, and both structural and limit results are presented in full detail. Compared to the first edition, the material and presentation are better highlighted with several (small and large) alterations made to each chapter. Key features of the book include:

 • indicating the need for abstract theory even in applications and showing the inadequacy of existing results for certain apparently simple real-world problems;

 • attempting to deal with the existence problems for various classes of random families that figure in the main results of the subject;

 • providing a treatment of conditional expectations and of conditional probabilities that is more complete than in other existing textbooks.

Since this is a textbook, essentially all proofs are given in complete detail (even at the risk of repetition), and some key results are given multiple proofs when each argument has something to contribute.

Audience

This book is intended for graduate students and researchers interested in probability theory.