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Applied Probability and Stochastic Processes: In Engineering and Physical Sciences (Wiley Series in Probability and Statistics) - Hardcover
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.
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Applied Probability and Stochastic Processes: In Engineering and Physical Sciences (Wiley Series in Probability and Statistics)
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Applied Probability and Stochastic Processes: In Engineering and Physical Sciences (Wiley Series in Probability and Statistics)
Seller: HPB-Red, Dallas, TX, U.S.A.
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Hardcover. Condition: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_428160154
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Applied Probability and Stochastic Processes: In Engineering and Physical Sciences (Wiley Series in Probability and Statistics)
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Applied Probability and Stochastic Processes in Engineering and Physical Sciences
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Applied Probability and Stochastic Processes in Engineering and Physical Sciences (Wiley Series in Probability and Statistics)
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Applied Probability and Stochastic Processes: In Engineering and Physical Sciences (Wiley Series in Probability and Statistics)
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