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Lifetime Analysis by Aging Intensity Functions (Studies in Systems, Decision and Control, 196) - Hardcover
Synopsis
This book addresses a range of aging intensity functions, which make it possible to measure and compare aging trends for lifetime random variables. Moreover, they can be used for the characterization of lifetime distributions, also with bounded support. Stochastic orders based on the aging intensities, and their connections with some other orders, are also discussed.
To demonstrate the applicability of aging intensity in reliability practice, the book analyzes both real and generated data. The estimated, properly chosen, aging intensity function is mainly recommended to identify data’s lifetime distribution, and secondly, to estimate some of the parameters of the identified distribution. Both reliability researchers and practitioners will find the book a valuable guide and source of inspiration."synopsis" may belong to another edition of this title.
- PublisherSpringer
- Publication date2019
- ISBN 10 3030121062
- ISBN 13 9783030121068
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages230
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Lifetime Analysis by Aging Intensity Functions (Studies in Systems, Decision and Control, 196)
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Lifetime Analysis by Aging Intensity Functions (Studies in Systems, Decision and Control, 196)
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Lifetime Analysis by Aging Intensity Functions
Published by
Springer International Publishing Feb 2019, 2019
ISBN 10: 3030121062
ISBN 13: 9783030121068
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book addresses a range of aging intensity functions, which make it possible to measure and compare aging trends for lifetime random variables. Moreover, they can be used for the characterization of lifetime distributions, also with bounded support. Stochastic orders based on the aging intensities, and their connections with some other orders, are also discussed. To demonstrate the applicability of aging intensity in reliability practice, the book analyzes both real and generated data. The estimated, properly chosen, aging intensity function is mainly recommended to identify data's lifetime distribution, and secondly, to estimate some of the parameters of the identified distribution. Both reliability researchers and practitioners will find the book a valuable guide and source of inspiration. 232 pp. Englisch. Seller Inventory # 9783030121068
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Lifetime Analysis by Aging Intensity Functions
Published by
Springer International Publishing, 2019
ISBN 10: 3030121062
ISBN 13: 9783030121068
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Hardcover
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses a range of aging intensity functions, which make it possible to measure and compare aging trends for lifetime random variables. Moreover, they can be used for the characterization of lifetime distributions, also with bounded support. Stochastic orders based on the aging intensities, and their connections with some other orders, are also discussed. To demonstrate the applicability of aging intensity in reliability practice, the book analyzes both real and generated data. The estimated, properly chosen, aging intensity function is mainly recommended to identify data's lifetime distribution, and secondly, to estimate some of the parameters of the identified distribution. Both reliability researchers and practitioners will find the book a valuable guide and source of inspiration. Seller Inventory # 9783030121068
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Lifetime Analysis by Aging Intensity Functions
Published by
Springer International Publishing, 2019
ISBN 10: 3030121062
ISBN 13: 9783030121068
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Hardcover
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Defines and studies selected aging intensity functions that are used to gauge various aspects of aging trends Reviews the research on Lifetime Analysis by Aging Intensity Functions carried out in the past several years Offers a valuabl. Seller Inventory # 262744246
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Lifetime Analysis by Aging Intensity Functions
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Lifetime Analysis by Aging Intensity Functions (Studies in Systems, Decision and Control, 196)
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