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The Art of Progressive Censoring

Applications to Reliability and Quality

  • N. Balakrishnan
  • Erhard Cramer

Part of the Statistics for Industry and Technology book series (SIT)

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Distribution Theory and Models

    1. Front Matter
      Pages 1-1
    2. N. Balakrishnan, Erhard Cramer
      Pages 3-20
    3. N. Balakrishnan, Erhard Cramer
      Pages 21-66
    4. N. Balakrishnan, Erhard Cramer
      Pages 67-113
    5. N. Balakrishnan, Erhard Cramer
      Pages 115-124
    6. N. Balakrishnan, Erhard Cramer
      Pages 125-142
    7. N. Balakrishnan, Erhard Cramer
      Pages 143-153
    8. N. Balakrishnan, Erhard Cramer
      Pages 155-191
    9. N. Balakrishnan, Erhard Cramer
      Pages 193-200
    10. N. Balakrishnan, Erhard Cramer
      Pages 201-228
    11. N. Balakrishnan, Erhard Cramer
      Pages 229-244
  3. Inference

    1. Front Matter
      Pages 245-245
    2. N. Balakrishnan, Erhard Cramer
      Pages 247-266
    3. N. Balakrishnan, Erhard Cramer
      Pages 267-312
    4. N. Balakrishnan, Erhard Cramer
      Pages 313-325
    5. N. Balakrishnan, Erhard Cramer
      Pages 327-340
    6. N. Balakrishnan, Erhard Cramer
      Pages 341-353
    7. N. Balakrishnan, Erhard Cramer
      Pages 355-377
    8. N. Balakrishnan, Erhard Cramer
      Pages 379-419
    9. N. Balakrishnan, Erhard Cramer
      Pages 421-425
    10. N. Balakrishnan, Erhard Cramer
      Pages 427-437
    11. N. Balakrishnan, Erhard Cramer
      Pages 439-450
    12. N. Balakrishnan, Erhard Cramer
      Pages 451-464
  4. Applications in Survival Analysis and Reliability

    1. Front Matter
      Pages 465-465
    2. N. Balakrishnan, Erhard Cramer
      Pages 467-480
    3. N. Balakrishnan, Erhard Cramer
      Pages 481-505
    4. N. Balakrishnan, Erhard Cramer
      Pages 507-513
    5. N. Balakrishnan, Erhard Cramer
      Pages 515-530
    6. N. Balakrishnan, Erhard Cramer
      Pages 531-570
  5. Back Matter
    Pages 571-645

About this book

Introduction

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 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 advanced undergraduate or beginning graduate courses on censoring or progressive censoring, as well as a supplementary textbook for a course on ordered data.

Keywords

Experimental design Fisher information Goodness-of-fit test Life testing Nonparametric inference Optimal progressive censoring Ordered data Parametric inference Progressive censoring Progressively censored samples Quality control Reliability

Authors and affiliations

  • N. Balakrishnan
    • 1
  • Erhard Cramer
    • 2
  1. 1.Department of Mathematics & StatisticsMcMaster UniversityHamiltonCanada
  2. 2.Institute of StatisticsRWTH Aachen UniversityAachenGermany

Bibliographic information