Secure CheckoutPersonal information is secured with SSL technology.
Free ShippingFree global shipping
No minimum order.
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
Statistical practitioners, senior undergraduate and graduate students, and researchers in statistics
Chapter 1. Introduction
1.1. Life Testing Experiments and its Difficulties
1.2. Accelerated Life Testing
1.4. Different Forms of Data
1.5. Different Models
1.6. Organization of the Monograph
Chapter 2. Cumulative Exposure Model
2.2. One Parameter Exponential Distribution
2.3. Two-Parameter Exponential Distribution
2.4. Weibull distribution
2.5. Generalized Exponential Distribution
2.6. Other Continuous Distributions
2.7. Geometric Distribution
2.8. Multiple Step-Stress Model
Chapter 3. Other related models
3.2. Tampered Random Variable Model
3.3. Tampered Failure Rate Model
3.4. Cumulative Risk Model
Chapter 4. SSLT with Multiple Failure Modes
4.2. SSLT and Competing Risks
4.3. Exponential Distribution: CEM
4.4. Exponential Distribution: CRM
4.5. Weibull Distribution: TFRM
4.6. SSLT and Complementary Risks
Chapter 5. Miscellaneous Topics
5.2. Random Stress Changing Time Model
5.3. Order Restricted Inference
5.4. Meta Analysis Approach
5.5. Optimal Design of SSLTs
5.6. Further Reading
- No. of pages:
- © Academic Press 2017
- 15th June 2017
- Academic Press
- Paperback ISBN:
- eBook ISBN:
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, non-linear regression, distribution theory, statistical computing, and reliability and survival analysis.
Rahul and Namita Gautam Chair Professor, Department of Mathematics and Statistics, Indian Institute of Technology Kanpur, India
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.
Department of Mathematics, Indian Institute of Technology Guwahati, India
Elsevier.com visitor survey
We are always looking for ways to improve customer experience on Elsevier.com.
We would like to ask you for a moment of your time to fill in a short questionnaire, at the end of your visit.
If you decide to participate, a new browser tab will open so you can complete the survey after you have completed your visit to this website.
Thanks in advance for your time.