Isbn: 9783030769062 - Statistical Reliability Engineering: Methods, Models and Applications (springer Series in Reliability Engineering) (19 results)

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Published by Springer, 2022
Series: Book 71 of 90 - Springer Series in Reliability Engineering
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Language: English
Published by Springer, 2022
Series: Book 71 of 90 - Springer Series in Reliability Engineering
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Published by Springer 2022-08, 2022
Series: Book 71 of 90 - Springer Series in Reliability Engineering
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Published by Springer, 2022
Series: Book 71 of 90 - Springer Series in Reliability Engineering
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Published by Springer, 2022
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Language: English
Published by Springer, 2022
Series: Book 71 of 90 - Springer Series in Reliability Engineering
- Softcover
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Published by Springer, 2022
Series: Book 71 of 90 - Springer Series in Reliability Engineering
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Published by Springer, 2022
Series: Book 71 of 90 - Springer Series in Reliability Engineering
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Published by Springer, 2022
Series: Book 71 of 90 - Springer Series in Reliability Engineering
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the state-of-the-art methodology and detailed analytical models and methods used to assess the reliability of complex systems and related applications in statistical reliability engineering. It is a textbook based mainly on the author's recent research and publications as well as experience of over 30 years in this field.The book covers a wide range of methods and models in reliability, and their applications, including: statistical methods and model selection for machine learning; models for maintenance and software reliability; statistical reliability estimation of complex systems; and statistical reliability analysis of k out of n systems, standby systems and repairable systems. Offering numerous examples and solved problems within each chapter, this comprehensive text provides an introduction to reliability engineering graduate students, a reference for data scientists and reliability engineers, and a thorough guide for researchers and instructors in the field.…

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Published by Springer, 2022
Series: Book 71 of 90 - Springer Series in Reliability Engineering
- Softcover
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More imagesLanguage: English
Published by Springer, 2022
Series: Book 71 of 90 - Springer Series in Reliability Engineering
- Softcover
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Taschenbuch. Condition: Neu. Statistical Reliability Engineering | Methods, Models and Applications | Hoang Pham | Taschenbuch | Springer Series in Reliability Engineering | xx | Englisch | 2022 | Springer | EAN 9783030769062 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

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Published by SPRINGER NP, 2022
Series: Book 71 of 90 - Springer Series in Reliability Engineering
- Softcover
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Condition: New. Brand New ! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

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Published by Springer, 2022
Series: Book 71 of 90 - Springer Series in Reliability Engineering
- Softcover
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Published by Springer International Publishing Aug 2022, 2022
Series: Book 71 of 90 - Springer Series in Reliability Engineering
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents the state-of-the-art methodology and detailed analytical models and methods used to assess the reliability of complex systems and related applications in statistical reliability engineering. It is a textbook based mainly on the author's recent research and publications as well as experience of over 30 years in this field.The book covers a wide range of methods and models in reliability, and their applications, including: statistical methods and model selection for machine learning; models for maintenance and software reliability; statistical reliability estimation of complex systems; and statistical reliability analysis of k out of n systems, standby systems and repairable systems. Offering numerous examples and solved problems within each chapter, this comprehensive text provides an introduction to reliability engineering graduate students, a reference for data scientists and reliability engineers, and a thorough guide for researchers and instructors in the field. 520 pp. Englisch.…

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Published by Springer, Berlin|Springer International Publishing|Springer, 2022
Series: Book 71 of 90 - Springer Series in Reliability Engineering
- Softcover
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book presents the state-of-the-art methodology and detailed analytical models and methods used to assess the reliability of complex systems and related applications in statistical reliability engineering. It is a textbook based mainly on the author .…

Language: English
Published by Springer, 2022
Series: Book 71 of 90 - Springer Series in Reliability Engineering
- Softcover
- Print on Demand
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Published by Springer, 2022
Series: Book 71 of 90 - Springer Series in Reliability Engineering
- Softcover
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Published by Springer, Springer Aug 2022, 2022
Series: Book 71 of 90 - Springer Series in Reliability Engineering
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents the state-of-the-art methodology and detailed analytical models and methods used to assess the reliability of complex systems and related applications in statistical reliability engineering. It is a textbook based mainly on the author's recent research and publications as well as experience of over 30 years in this field.The book covers a wide range of methods and models in reliability, and their applications, including:statistical methods and model selection for machine learning;models for maintenance and software reliability;statistical reliability estimation of complex systems; and statistical reliability analysis of k out of n systems, standby systems and repairable systems.Offering numerous examples and solved problems within each chapter, this comprehensive text provides an introduction to reliability engineering graduate students, a reference for data scientists and reliability engineers, and a thorough guide for researchers and instructors in the field.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 520 pp. Englisch.…