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Analysis of Step-Stress Models

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Analysis of Step-Stress Models

Existing Results and Some Recent Developments

Ayon Ganguly, Debasis Kundu

Academic Press
Publication date : 2017-06-29

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Analysis of Step-Stress Models: Existing Results and Some Recent Developments describes, in detail, the step-stress models and related topics that have received significant attention in the last few years. Although two books, Bagdonavicius and Nikulin (2001) and Nelson (1990), on general accelerated life testing models are available, no specific book is available on step-stress models. Due to the importance of this particular topic, Balakrishnan (2009) provided an excellent review for exponential step-stress models. The scope of this book is much more, providing the inferential issues for different probability models, both from the frequentist and Bayesian points-of-view. - Explains the different distributions of the Cumulative Exposure Mode - Covers many different models used for step-stress analysis - Discusses Step-stress life testing under the competing or complementary risk model

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About the book

Author

Ayon Ganguly , Debasis Kundu

Imprint

Academic Press

Collection

n.c

Publication date

2017-06-29

Pages

186 pages

Print ISBN

9780128097137

Language

English

Ebook informations

EAN EPUB DRM-FREE

9780081012406

Price

£83.29

Informations accessibility

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About author(s)

Ayon Ganguly

Debasis Kundu

Debasis Kundu is a Professor in the Department of Mathematics and Statistics at the Indian Institute of Technology Kanpur, India, which he joined in 1990. He had previously worked as Assistant Professor at the University of Texas at Dallas, USA, after completing his PhD in Statistics at Pennsylvania State University, USA. His research interests include statistical signal processing, nonlinear regression, distribution theory, statistical computing, and reliability and survival analysis.Ayon Ganguly is an Assistant Professor in the Department of Mathematics, at the Indian Institute of Technology Guwahati, India. He received his PhD in Statistics from the Department of Mathematics and Statistics, Indian Institute of Technology Kanpur, India. His research interests include reliability and survival analysis.

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