Hybrid Censoring Know-How
eBook - ePub

Hybrid Censoring Know-How

Designs and Implementations

  1. 406 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Hybrid Censoring Know-How

Designs and Implementations

About this book

Hybrid Censoring Know-How: Models, Methods and Applications focuses on hybrid censoring, an important topic in censoring methodology with numerous applications. The readers will find information on the significance of censored data in theoretical and applied contexts, and descriptions of extensive data sets from life-testing experiments where these forms of data naturally occur. The existing literature on censoring methodology, life-testing procedures, and lifetime data analysis provides only hybrid censoring schemes, with little information about hybrid censoring methodologies, ideas, and statistical inferential methods. This book fills that gap, featuring statistical tools applicable to data from medicine, biology, public health, epidemiology, engineering, economics, and demography. - Presents many numerical examples to adequately illustrate all inferential methods discussed - Mentions some open problems and possible directions for future work - Reviews developments on Type-II and Type-I HCS, including the most recent research and trends - Explains why hybrid censored sampling is important in practice - Provides details about the use of HCS under different settings and on various designs of HCS - Describes the use of hybrid censoring in other reliability applications such as reliability sampling plans, step-stress testing, and quality control

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Yes, you can access Hybrid Censoring Know-How by Narayanaswamy Balakrishnan,Erhard Cramer,Debasis Kundu in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematics General. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Title of Book
  2. Cover image
  3. Title page
  4. Table of Contents
  5. Front Matter
  6. Copyright
  7. Dedication
  8. Preface
  9. Chapter 1 Introduction
  10. Chapter 2 Preliminaries
  11. Chapter 3 Inference for Type-II, Type-I, and progressive censoring
  12. Chapter 4 Models and distributional properties of hybrid censoring designs
  13. Chapter 5 Inference for exponentially distributed lifetimes
  14. Chapter 6 Inference for other lifetime distributions
  15. Chapter 7 Progressive hybrid censored data
  16. Chapter 8 Information measures
  17. Chapter 9 Step-stress testing
  18. Chapter 10 Applications in reliability
  19. Chapter 11 Goodness-of-fit tests
  20. Chapter 12 Prediction methods
  21. Chapter 13 Adaptive progressive hybrid censoring
  22. Appendix
  23. Bibliography
  24. Index