Probability, Random Variables, and Stochastic Processes

Papoulis, Athanasios

ISBN 10: 0070484481 / ISBN 13: 9780070484481

Edité par McGraw-Hill Book Company, Inc., New York

A propos de cet article

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.

N° de réf. du vendeur 15723

Détails bibliographiques

• Titre: Probability, Random Variables, and Stochastic Processes
• Éditeur: McGraw-Hill Book Company, Inc., New York
• Langue: anglais
• ISBN à 10 chiffres: 0070484481
• ISBN à 13 chiffres: 9780070484481
• Reliure: Hardcover
• Édition: First Edition.
• État de l'article: Fair
• État de la jaquette: No Jacket

A propos de ce titre

Présentation de l'éditeur

The fourth edition of Probability, Random Variables and Stochastic Processes has been updated significantly from the previous edition, and it now includes co-author S. Unnikrishna Pillai of Polytechnic University. The book is intended for a senior/graduate level course in probability and is aimed at students in electrical engineering, math, and physics departments. The authors' approach is to develop the subject of probability theory and stochastic processes as a deductive discipline and to illustrate the theory with basic applications of engineering interest. Approximately 1/3 of the text is new material--this material maintains the style and spirit of previous editions. In order to bridge the gap between concepts and applications, a number of additional examples have been added for further clarity, as well as several new topics.