A First Course in Stochastic Processes Revised Edition Contributor(s): Karlin, Samuel (Author), Taylor, Howard E. (Author) |
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ISBN: 0123985528 ISBN-13: 9780123985521 Publisher: Academic Press OUR PRICE: $123.30 Product Type: Hardcover - Other Formats Published: March 1975 Annotation: The purpose, level, and style of this new edition conform to the tenets set forth in the original preface. The authors continue with their tack of developing simultaneously theory and applications, intertwined so that they refurbish and elucidate each other. The authors have made three main kinds of changes. First, they have enlarged on the topics treated in the first edition. Second, they have added many exercises and problems at the end of each chapter. Third, and most important, they have supplied, in new chapters, broad introductory discussions of several classes of stochastic processes not dealt with in the first edition, notably martingales, renewal and fluctuation phenomena associated with random sums, stationary stochastic processes, and diffusion theory. |
Additional Information |
BISAC Categories: - Mathematics | Applied - Mathematics | Mathematical Analysis - Mathematics | Vector Analysis |
Dewey: 519.2 |
LCCN: 74005705 |
Physical Information: 1.25" H x 6.34" W x 9.32" (2.05 lbs) 576 pages |
Descriptions, Reviews, Etc. |
Publisher Description: The purpose, level, and style of this new edition conform to the tenets set forth in the original preface. The authors continue with their tack of developing simultaneously theory and applications, intertwined so that they refurbish and elucidate each other. The authors have made three main kinds of changes. First, they have enlarged on the topics treated in the first edition. Second, they have added many exercises and problems at the end of each chapter. Third, and most important, they have supplied, in new chapters, broad introductory discussions of several classes of stochastic processes not dealt with in the first edition, notably martingales, renewal and fluctuation phenomena associated with random sums, stationary stochastic processes, and diffusion theory. |