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Springer Stochastic Processes - Reliability Engineering Book

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Description

Reliability theory is essential for engineers and managers focused on manufacturing high-quality products and designing dependable systems. To apply these theories to real-world systems, a deep understanding of basic stochastic processes is required. This book from the Springer Series in Reliability Engineering provides the necessary foundation for professionals in the field. This text bridges the gap between theory and application by offering useful reliability studies. Readers gain a comprehensive treatment of fundamental stochastic processes, including the Poisson process, renewal process, Markov chain, Markov process, and Markov renewal process. Whether you are designing new systems or managing existing manufacturing processes, this resource provides the mathematical tools needed to ensure long-term system performance and reliability.

Key Features

Provides a fundamental understanding of stochastic processes necessary for practical application in reliability engineering.

Includes useful reliability studies and real-world applications for engineers and managers.

Covers essential topics such as the Poisson process and the renewal process.

Offers detailed instruction on Markov chains, Markov processes, and Markov renewal processes.

Designed for professionals involved in the manufacture of high-quality products and system design.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
29 May 2011
Listed Since
15 November 2010

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No barcode data available

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