Analysis of Step-Stress Models

Existing Results and Some Recent Developments
Erscheinungsjahr 2017
ISBN: 978-0-12-809713-7
Verlag: Elsevier Science

Buch, Englisch, 186 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 310 g

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.

Autoren/Hrsg.

Kundu, Debasis

Ganguly, Ayon

Fachgebiete

• Sozialwissenschaften Soziologie | Soziale Arbeit Soziale Gruppen/Soziale Themen Ethische Themen & Debatten: Wissenschaft, Technologie, Medizin
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle

Inhaltsverzeichnis

1. Introduction2. Cumulative Exposure Model3. Other related models4. SSLT with Multiple Failure Modes5. Miscellaneous Topics

Über Autor(innen)

Kundu, Debasis
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.

Ganguly, Ayon
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.