Discrete stochastic models and applications for reliability engineering and statistical quality control

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書誌事項

Discrete stochastic models and applications for reliability engineering and statistical quality control

Serkan Eryilmaz

CRC Press, Taylor & Francis Group, 2023 [i.e. 2022]

  • : hbk

大学図書館所蔵 件 / 全2件

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

Discrete stochastic models are tools that allow us to understand, control, and optimize engineering systems and processes. This book provides real-life examples and illustrations of models in reliability engineering and statistical quality control and establishes a connection between the theoretical framework and their engineering applications. The book describes discrete stochastic models along with real-life examples and explores not only well-known models, but also comparatively lesser known ones. It includes definitions, concepts, and methods with a clear understanding of their use in reliability engineering and statistical quality control fields. Also covered are the recent advances and established connections between the theoretical framework of discrete stochastic models and their engineering applications. An ideal reference for researchers in academia and graduate students working in the fields of operations research, reliability engineering, quality control, and probability and statistics.

目次

1. An Overview of Discrete Stochastic Modeling. 2. Discrete Probability Distributions. 3. Markov Chains. 4. Phase-Type Distributions. 5. Matrix-Geometric Distributions. 6. Some Particular Classes of Discrete Distributions. 7. Other Discrete Stochastic Models Involving Dependency. 8. Applications.

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