Probability, Random Variables and Stochastic Processes
Athanasios Papoulis(Author)
McGraw-Hill Education (ISE Editions) (Publisher)
3rd Edition
Published on 1. August 1991
Book
Paperback/Softback
624 pages
978-0-07-100870-9 (ISBN)
Article exhausted; check for reprint
Description
Designed for graduate-level courses, this text has defined the course of study in probability theory, highly regarded for its strong mathematical orientation and comprehensive coverage. The book classifies topics in probability, random variables, and stochastic processes very logically, carefully incorporating a wide range of illustrations and applications. This edition contains a substantial revision of Parts II & III with greater emphasis on realistic methods of spectral estimation and analysis, and many new problems, examples and applications.
More details
Edition
3rd Revised edition
Language
English
Place of publication
London
United Kingdom
Publishing group
McGraw-Hill Education - Europe
Target group
College/higher education
Professional and scholarly
Edition type
Revised edition
Illustrations
illustrations
Dimensions
Height: 250 mm
Weight
1100 gr
ISBN-13
978-0-07-100870-9 (9780071008709)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Athanasios Papoulis | S. Pillai
Probability, Random Variables and Stochastic Processes
Book
12/2001
4th Edition
McGraw-Hill Professional
€86.65
Article is exhausted; no reprint
Previous edition
Athanasios Papoulis
Probability, Random Variables and Stochastic Processes
Book
12/1984
2nd Edition
McGraw-Hill Inc.,US
€61.84
Article exhausted; check for reprint
Content
Probability and random; the meaning of probability; the axioms of probability; repeated trials; the concept of a random variable; functions of one random variable; bivariate distributions; moments and conditional statistics; sequences of random variables; statistics; stochastic processes; general concepts; basic applications; spectral representation; spectral estimation; mean square estimation; entrophy; selected topics.