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Probability models in reliability an...

Mukherjee, S. P.

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Probability models in reliability analysis

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Probability models in reliability analysis/ by S. P. Mukherjee, Asok K. Nanda.
作者:	Mukherjee, S. P.
其他作者:	Nanda, Asok K.
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xviii, 345 p. :ill. (chiefly color), digital ;24 cm.
內容註:	1. Introduction -- 2. Properties of Life Distributions -- 3. Univariate Continuous Distributions -- 4. Some Discrete Distributions -- 5. Distributions Derived from the Parent Distribution -- 6. Finite Range Life Distributions -- 7. Ordering among Life Distributions -- 8. Classes of Life Distributions -- 9. Characterizations of Life Distributions -- 10. Distributions of Special Interest -- 11. Using an Appropriate Probability Model.
Contained By:	Springer Nature eBook
標題:	Reliability (Engineering) - Mathematical models. -
電子資源:	https://doi.org/10.1007/978-981-96-3049-3
ISBN:	9789819630493

Probability models in reliability analysis
Mukherjee, S. P.

Probability models in reliability analysis[electronic resource] /by S. P. Mukherjee, Asok K. Nanda. - Singapore :Springer Nature Singapore :2025. - xviii, 345 p. :ill. (chiefly color), digital ;24 cm. - University texts in the mathematical sciences,2731-9326. - University texts in the mathematical sciences..

1. Introduction -- 2. Properties of Life Distributions -- 3. Univariate Continuous Distributions -- 4. Some Discrete Distributions -- 5. Distributions Derived from the Parent Distribution -- 6. Finite Range Life Distributions -- 7. Ordering among Life Distributions -- 8. Classes of Life Distributions -- 9. Characterizations of Life Distributions -- 10. Distributions of Special Interest -- 11. Using an Appropriate Probability Model.

This book delves into the fundamental theoretical aspects of reliability analysis, focusing on various probabilistic models. These models are essential for representing random variations in underlying variables such as time-to-failure, the number of failures between consecutive repairs and similar metrics. The calculation, estimation and prediction of reliability all hinge on using appropriate probability models. The book introduces various models beneficial for researchers in the field of reliability. It also provides a comprehensive overview of the available models, highlighting their distinctive features and practical applications in a narrative format. The content of the book is designed to appeal to a broad readership. Students and researchers in the field of reliability analysis will find a comprehensive yet easily understandable summary of models applicable to their data sets of interest. It should be noted, however, As stated clearly in the preface, this book does not illustrate applications of the models discussed in terms of real-life data.

ISBN: 9789819630493

Standard No.: 10.1007/978-981-96-3049-3doiSubjects--Topical Terms:

536961
Reliability (Engineering)
--Mathematical models.

LC Class. No.: TA169

Dewey Class. No.: 620.00452

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505 0 $a 1. Introduction -- 2. Properties of Life Distributions -- 3. Univariate Continuous Distributions -- 4. Some Discrete Distributions -- 5. Distributions Derived from the Parent Distribution -- 6. Finite Range Life Distributions -- 7. Ordering among Life Distributions -- 8. Classes of Life Distributions -- 9. Characterizations of Life Distributions -- 10. Distributions of Special Interest -- 11. Using an Appropriate Probability Model.
520 $a This book delves into the fundamental theoretical aspects of reliability analysis, focusing on various probabilistic models. These models are essential for representing random variations in underlying variables such as time-to-failure, the number of failures between consecutive repairs and similar metrics. The calculation, estimation and prediction of reliability all hinge on using appropriate probability models. The book introduces various models beneficial for researchers in the field of reliability. It also provides a comprehensive overview of the available models, highlighting their distinctive features and practical applications in a narrative format. The content of the book is designed to appeal to a broad readership. Students and researchers in the field of reliability analysis will find a comprehensive yet easily understandable summary of models applicable to their data sets of interest. It should be noted, however, As stated clearly in the preface, this book does not illustrate applications of the models discussed in terms of real-life data.
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