Reliability Analysis and Plans for Successive Testing
Start-up Demonstration Tests and Applications
Free Global Shipping
No minimum orderDescription
Reliability Analysis and Plans for Successive Testing: Start-up Demonstration Tests and Applications discusses all past and recent developments on start-up demonstration tests in the context of current numerical and illustrative examples to clarify available methods for distribution theorists and applied mathematicians dealing with control problems. Throughout the book, the authors focus on the panorama of open problems and issues of further interest. As contemporary manufacturers face tremendous commercial pressures to assemble works of high reliability, defined as ‘the probability of the product performing its role under the stated conditions and over a specified period of time’, this book helps address testing issues.
Key Features
- Unites the tools and methodologies of applied statistics and stochastic modeling to aid the determination of device reliability for better performing consumer goods
- Clearly articulates how successive testing methods can be used in practice
- Comments not only on distribution sequences closed, but also on open problems and issues of further interest for researchers
Readership
Graduate students and specialized researchers in statistical distribution theory; statistical quality control and reliability theory, some in industrial settings
Table of Contents
- 1. Introduction
2. Preliminaries
3. Binary start-up demonstration tests
4. Multistate start-up demonstration tests
5. An unified approach
6. Statistical inference and a mixture model
7. Some extended testing procedures and optimal design of tests
8. Illustrative data analyses
9. Applications to other fields
Product details
- No. of pages: 266
- Language: English
- Copyright: © Academic Press 2021
- Published: January 15, 2021
- Imprint: Academic Press
- Hardcover ISBN: 9780128042885
- eBook ISBN: 9780128043622
About the Authors
N. Balakrishnan
Narayanaswamy Balakrishnan is a distinguished university professor in the Department of Mathematics and Statistics at McMaster University Hamilton, Ontario, Canada. He is an internationally recognized expert on statistical distribution theory, and a book-powerhouse with over 24 authored books, four authored handbooks, and 30 edited books under his name. He is currently the Editor-in-Chief of Communications in Statistics published by Taylor & Francis. He was also the Editor-in-Chief for the revised version of Encyclopedia of Statistical Sciences published by John Wiley & Sons. He is a Fellow of the American Statistical Association and a Fellow of the Institute of Mathematical Statistics. In 2016, he was awarded an Honorary Doctorate from The National and Kapodistrian University of Athens, Athens, Greece. In 2021, he was elected as a Fellow of the Royal Society of Canada.
Affiliations and Expertise
Distinguished University Professor, Department of Mathematics and Statistics, McMaster University, Hamilton, Ontario, Canada
Markos Koutras
Markos Koutras, Professor of Statistics and Applied Probability, is in the Department of Statistics and Insurance Science, University of Piraeus, and is currently the Vice-Rector of Finance, Planning and Development of the University of Piraeus, Greece. Koutras’ research interests include asymptotic theory, combinatorial distributions, multivariate analysis, reliability theory, statistical quality control, and theory of runs/scans/patterns, and he has published a book on the last topic, collaboratively with Professor N. Balakrishnan, with John Wiley & Sons.
Affiliations and Expertise
Department of Statistics and Insurance Science, University of Piraeus and Dean of the School of Finance and Statistics, Piraeus, Greece
Fotios Milienos
Fotios Milienos, Assistant Professor, in the Department of Sociology, Panteion University of Social and Political Sciences, Greece. His research interests include theory of runs and patterns, cure rate modeling, and statistical methods in behavioral research.
Affiliations and Expertise
Postdoctoral fellow, Department of Mathematics and Statistics, McMaster University, Ontario, Canada
Ratings and Reviews
There are currently no reviews for "Reliability Analysis and Plans for Successive Testing"