Recent Advances In Life-testing And Reliability

This book covers recent developments in the fields of life-testing and reliability, with contributions from well-known researchers. Topics include inference under censoring and truncation, reliability growth models, quality improvement designs, prediction techniques, Bayesian analysis, multivariate methods, and accelerated testing. The book is written in an easy-to-follow style, with theoretical details followed by numerical examples. It also includes tables and graphs to aid in the use of new methodologies, and numerous examples to provide insight into their applications.

This unique volume presents chapters written on the areas of life-testing and reliability by many well-known researchers who have contributed significantly to these two areas over the years. Chapters cover a wide range of topics such as inference under censoring and truncation, reliability growth models, designs to improve quality, prediction techniques, Bayesian analysis of reliability, multivariate methods, accelerated testing, and more. The book is written in an easy-to-follow style, first presenting the necessary theoretical details and then illustrating the methods with a numerical examples wherever possible. Many tables and graphs that are essential for the use of some of the new methodologies are presented throughout the volume. Numerous examples provide the reader with a clear understanding of the methods presented as well as with insight into the applications of these results.