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Statistical models and methods for reliability and survival analysis / [electronic resource]

by Couallier, Vincent [editor.]; Gerville-Réache, Léo [editor.]; Huber-Carol, Catherine [editor.]; Limnios, N. (Nikolaos) [editor.]; Mesbah, Mounir [editor.].
Material type: materialTypeLabelBookSeries: ISTE: Publisher: London : ISTE ; 2014.Description: 1 online resource.ISBN: 9781118826805; 1118826809; 9781118827161; 1118827163.Subject(s): Reliability (Engineering) -- Statistical methods | Reliability (Engineering) -- Mathematical models | Survival analysis (Biometry) -- Statistical methods | Survival analysis (Biometry) -- Mathematical models | Reliability (Engineering) -- Statistical methods | Survival analysis (Biometry) | Survival analysis | MATHEMATICS -- General | Reliability (Engineering) -- Statistical methods | Survival analysis (Biometry) | Electronic books | Electronic booksOnline resources: Wiley Online Library
Contents:
Statistical models and methods -- Statistical models and methods in survival analysis -- Reliability and maintenance.
Summary: Statistical Models and Methods for Reliability and Survival Analysis brings together contributions by specialists in statistical theory as they discuss their applications providing up-to-date developments in methods used in survival analysis, statistical goodness of fit, stochastic processes for system reliability, amongst others. Many of these are related to the work of Professor M. Nikulin in statistics over the past 30 years. The authors gather together various contributions with a broad array of techniques and results, divided into three parts - Statistical Models and Methods, Statistics.
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Includes bibliographical references and index.

Statistical models and methods -- Statistical models and methods in survival analysis -- Reliability and maintenance.

Statistical Models and Methods for Reliability and Survival Analysis brings together contributions by specialists in statistical theory as they discuss their applications providing up-to-date developments in methods used in survival analysis, statistical goodness of fit, stochastic processes for system reliability, amongst others. Many of these are related to the work of Professor M. Nikulin in statistics over the past 30 years. The authors gather together various contributions with a broad array of techniques and results, divided into three parts - Statistical Models and Methods, Statistics.

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Last Updated on September 15, 2019
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