Authors:
- A thorough and updated guide to the theory and methods of progressive censoring, which has seen tremendous growth over the last decade
- Emphasis on real-life applications to life testing, reliability, and quality control
- Numerous examples and illustrations demonstrate the benefits of progressive censoring
- May 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
- Includes supplementary material: sn.pub/extras
Part of the book series: Statistics for Industry and Technology (SIT)
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Table of contents (26 chapters)
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Front Matter
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Distribution Theory and Models
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Front Matter
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Inference
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Front Matter
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About this book
This monograph offers a thorough and updated guide to the theory and methods of progressive censoring, an area that has experienced tremendous growth in recent years. Progressive censoring, originally proposed in the 1950s, is an efficient method of handling samples from industrial experiments involving lifetimes of units that have either failed or censored in a progressive fashion during the life test, with many practical applications to reliability and quality.
Key topics and features:
- Data sets from the literature as well as newly simulated data sets are used to illustrate concepts throughout the text
- Emphasis on real-life applications to life testing, reliability, and quality control
- Discussion of parametric and nonparametric inference
- Coverage of experimental design with optimal progressive censoring
The Art of Progressive Censoring is a valuable reference for graduate students, researchers, and practitioners inapplied statistics, quality control, life testing, and reliability. With its accessible style and concrete examples, the work may also be used as a textbook in advanced undergraduate or beginning graduate courses on censoring or progressive censoring, as well as a supplementary textbook for a course on ordered data.
Reviews
“This book offers a thorough and updated guide to the theory and methods of progressive censoring. … The book has been written in a self-contained manner and, therefore, will be quite suitable either as a text for a graduate topic course, a text for a directed-reading course, or as a handbook on progressive censoring.” (N. G. Gamkrelidze, zbMATH, Vol. 1365.62001, 2017)Â
“This gives a clear idea about the importance and growing interest in progressive censoring. … The book, with its encyclopedic coverage of progressive censoring, is an invaluable asset for serious researchers and practitioners.” (S. Panchapakesan, Mathematical Reviews, October, 2015)
Authors and Affiliations
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Department of Mathematics & Statistics, McMaster University, Hamilton, Canada
N. Balakrishnan
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Institute of Statistics, RWTH Aachen University, Aachen, Germany
Erhard Cramer
Bibliographic Information
Book Title: The Art of Progressive Censoring
Book Subtitle: Applications to Reliability and Quality
Authors: N. Balakrishnan, Erhard Cramer
Series Title: Statistics for Industry and Technology
DOI: https://doi.org/10.1007/978-0-8176-4807-7
Publisher: Birkhäuser New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media New York 2014
Hardcover ISBN: 978-0-8176-4806-0Published: 25 July 2014
Softcover ISBN: 978-1-4939-5084-3Published: 17 September 2016
eBook ISBN: 978-0-8176-4807-7Published: 24 July 2014
Series ISSN: 2364-6241
Series E-ISSN: 2364-625X
Edition Number: 1
Number of Pages: XXI, 645
Number of Illustrations: 43 b/w illustrations, 4 illustrations in colour
Topics: Statistical Theory and Methods, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Statistics for Life Sciences, Medicine, Health Sciences, Probability Theory and Stochastic Processes, Applications of Mathematics