This book offers a thorough and updated guide to the theory and methods of progressive censoring, an area that has experienced tremendous growth over the last decade. Progressive censoring, originally proposed in the1950s, is an efficient method of handling samples arising from industrial experiments involving lifetimes of machines or units that have to be terminated early due to a variety of circumstances. In recent years, the theory has developed quite nicely in some special cases having practical applications to reliability and quality.Key topics and features:* Foundations of progressive censoring are first introduced, followed by a discussion of the various properties of progressively censored samples* Data sets taken from the literature and newly simulated data sets are used to illustrate concepts throughout the text* Emphasis on real-life applications to life testing, reliability, and quality control* Numerous examples and illustrations demonstrate the benefits of progressive censoring* Discussion of parametric and nonparametric inference* Coverage of experimental design with optimal progressive censoringThe Art of Progressive Censoring is a valuable reference for graduate students, researchers, and practitioners in applied statistics, quality control, life testing, and reliability. With its accessible style and concrete examples, the work may also be used as a textbook in an advanced undergraduate or a beginning graduate course on censoring or progressive censoring, as well as a supplementary textbook for a course on ordered data.
Art of Progressive Censoring
Springer New York
Applications to Reliability and Quality