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Applied Probabiliy and Stochastic Processes in Engineering and Physical Sciences

Literary Conundrums
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Condition:
Very good
“Book is in very good condition with clean pages that are tight to binding. Book under jacket is ”... Read moreabout condition
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Item specifics

Condition
Very good
A book that does not look new and has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
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“Book is in very good condition with clean pages that are tight to binding. Book under jacket is ...
ISBN
9780471857426

About this product

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471857424
ISBN-13
9780471857426
eBay Product ID (ePID)
790754

Product Key Features

Number of Pages
520 Pages
Publication Name
Applied Probability and Stochastic Processes : in Engineering and the Physical Sciences
Language
English
Subject
Probability & Statistics / Stochastic Processes, Probability & Statistics / General
Publication Year
1990
Type
Textbook
Author
Michel K. Ochi
Subject Area
Mathematics
Series
Wiley Series in Probability and Statistics Ser.
Format
Hardcover

Dimensions

Item Height
1.2 in
Item Weight
28 Oz
Item Length
9.3 in
Item Width
6.3 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
89-034352
Dewey Edition
20
Series Volume Number
226
Illustrated
Yes
Dewey Decimal
620/.0072
Table Of Content
Elements of Probability.Random Variables and Their Probability Distributions.Moments of Random Variables.Moment Generating Function, Characteristic Function, and Their Application.Discrete Random Variables and Their Distributions.Continuous Random Variables and Their Distributions.Transformation of Random Variables.Extreme Value Statistics.Stochastic Processes.Spectral Analysis of Stochastic Processes.Amplitudes and Periods of Gaussian Random Processes.Statistical Analysis of Time Series Data.Wiener-Lévy and Markov Processes.Linear System and Stochastic Prediction.Nonlinear Systems and Stochastic Prediction.Non-Gaussian Stochastic Processes.Counting Stochastic Processes.Exercises.Appendices.References.Index.
Synopsis
This introduction to modern concepts of applied stochastic processes is written for a broad range of applications in diverse areas of engineering and the physical sciences (unlike other books, which are written primarily for communications or electrical engineering). Emphasis is on clarifying the basic principles supporting current prediction techniques. The first eight chapters present the probability theory relevant to analysis of stochastic processes. The following nine chapters discuss principles, advanced techniques (including the procedures of spectral analysis and the development of the probability density function) and applications. Also features material found in the recent literature such as higher-order spectral analysis, the joint probability distribution of amplitudes and periods and non-Gaussian random processes. Includes numerous illustrative examples.
LC Classification Number
TA340.O24 1990

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    The book was as described; for its age it is in beautiful condition. A 100 years old and a great value no doubt about it. It was packaged well and shipped quickly. A highly recommended seller.
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    A perfect book at a wonderful price, packed very well, and shipped rapidly. I'm very happy with this seller! Thanks so much!
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    The book is as described, carefully packaged and delivered promptly. Thank you!
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