Analysis of Step-Stress Models

Existing Results and Some Recent Developments

Nonfiction, Science & Nature, Mathematics, Applied
Cover of the book Analysis of Step-Stress Models by Debasis Kundu, Ayon Ganguly, Elsevier Science
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Author: Debasis Kundu, Ayon Ganguly ISBN: 9780081012406
Publisher: Elsevier Science Publication: June 29, 2017
Imprint: Academic Press Language: English
Author: Debasis Kundu, Ayon Ganguly
ISBN: 9780081012406
Publisher: Elsevier Science
Publication: June 29, 2017
Imprint: Academic Press
Language: English

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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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.

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