Probability, Random Variables, and Stochastic Processes

Papoulis, Athanasios

ISBN 10: 0070484481 / ISBN 13: 9780070484481

Published by McGraw-Hill Book Company, Inc., New York

About this Item

This hardcover edition of "Probability, Random Variables, and Stochastic Processes" by Athanasios Papoulis is the 17th printing, dated 1975. The book features blue boards quarter-bound in black, with silver lettering on the spine. It is in Fair condition without a dust jacket.The book exhibits moderate to heavy wear on the corners and spine ends. There are light horizontal undulations from the spine to the front edge of the text block. The corners are rubbed and lightly bumped. The front hinge crack has been repaired. The binding is rolled forward and somewhat weak, but all pages remain intact.While the interior pages contain highlights and a few other markings, they are still readable and provide valuable content. The book will be carefully packaged for shipment, ensuring protection from the elements. As part of our commitment to excellent service, a USPS electronic tracking number will be issued free of charge, allowing you to monitor the progress of your shipment.Don't miss the opportunity to add this edition of "Probability, Random Variables, and Stochastic Processes" by Athanasios Papoulis to your collection or educational resources.

Seller Inventory # 15723

Bibliographic Details

• Title: Probability, Random Variables, and Stochastic Processes
• Publisher: McGraw-Hill Book Company, Inc., New York
• Language: English
• ISBN 10: 0070484481
• ISBN 13: 9780070484481
• Binding: Hardcover
• Edition: First Edition.
• Condition: Fair
• Dust Jacket Condition: No Jacket

About this title

Synopsis

Second Library Copy. San Diego Air and Space Museum.

Review

This text is a classic in probability, statistics, and estimation and in the application of these fields to modern engineering problems. Probability, Random Variables, and Stochastic Processes assumes a strong college mathematics background. The first half of the text develops the basic machinery of probability and statistics from first principles while the second half develops applications of the basic theory. Topics in the first section include probability distributions and densities, random variables and vectors, expectations, covariance, correlations, functions of random variables and vectors, and conditional distributions and densities. In this third edition of the text, the second half of the book has been substantially updated and expanded to include new or revised discussions of the following topics: mean square estimation, likelihood tests, maximum entropy methods, Monte Carlo techniques, spectral representations and estimation, sampling theory, bispectra and system identification, cyclostationary processes, deterministic signals in noise, and the Wiener and Kalman filters. Probability, Random Variables, and Stochastic Processes covers a remarkable density of material and the clarity of both presentation and notation make this book invaluable as a text and a reference.