Statistical Methods for Reliability Data
eBook - PDF

Statistical Methods for Reliability Data

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Statistical Methods for Reliability Data

About this book

An authoritative guide to the most recent advances in statistical methods for quantifying reliability

Statistical Methods for Reliability Data, Second Edition (SMRD2) is an essential guide to the most widely used and recently developed statistical methods for reliability data analysis and reliability test planning. Written by three experts in the area, SMRD2 updates and extends the long- established statistical techniques and shows how to apply powerful graphical, numerical, and simulation-based methods to a range of applications in reliability. SMRD2 is a comprehensive resource that describes maximum likelihood and Bayesian methods for solving practical problems that arise in product reliability and similar areas of application. SMRD2 illustrates methods with numerous applications and all the data sets are available on the book's website. Also, SMRD2 contains an extensive collection of exercises that will enhance its use as a course textbook.

The SMRD2's website contains valuable resources, including R packages, Stan model codes, presentation slides, technical notes, information about commercial software for reliability data analysis, and csv files for the 93 data sets used in the book's examples and exercises. The importance of statistical methods in the area of engineering reliability continues to grow and SMRD2 offers an updated guide for, exploring, modeling, and drawing conclusions from reliability data.

SMRD2 features:

  • Contains a wealth of information on modern methods and techniques for reliability data analysis
  • Offers discussions on the practical problem-solving power of various Bayesian inference methods
  • Provides examples of Bayesian data analysis performed using the R interface to the Stan system based on Stan models that are available on the book's website
  • Includes helpful technical-problem and data-analysis exercise sets at the end of every chapter
  • Presents illustrative computer graphics that highlight data, results of analyses, and technical concepts

Written for engineers and statisticians in industry and academia, Statistical Methods for Reliability Data, Second Edition offers an authoritative guide to this important topic.

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Yes, you can access Statistical Methods for Reliability Data by William Q. Meeker,Luis A. Escobar,Francis G. Pascual in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Quality Control in Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Contents
  5. Preface to the Second Edition
  6. Preface to the First Edition
  7. Acknowledgments
  8. Chapter 1 Reliability Concepts and Reliability Data
  9. Chapter 2 Models, Censoring, and Likelihood for Failureā€Time Data
  10. Chapter 3 Nonparametric Estimation for Failureā€Time Data
  11. Chapter 4 Some Parametric Distributions Used in Reliability Applications
  12. Chapter 5 System Reliability Concepts and Methods
  13. Chapter 6 Probability Plotting
  14. Chapter 7 Parametric Likelihood Fitting Concepts: Exponential Distribution
  15. Chapter 8 Maximum Likelihood Estimation for Logā€Locationā€Scale Distributions
  16. Chapter 9 Parametric Bootstrap and Other Simulationā€Based Confidence Interval Methods
  17. Chapter 10 An Introduction to Bayesian Statistical Methods for Reliability
  18. Chapter 11 Special Parametric Models
  19. Chapter 12 Comparing Failureā€Time Distributions
  20. Chapter 13 Planning Life Tests for Estimation
  21. Chapter 14 Planning Reliability Demonstration Tests
  22. Chapter 15 Prediction of Failure Times and the Number of Future Field Failures
  23. Chapter 16 Analysis of Data with More than One Failure Mode
  24. Chapter 17 Failureā€Time Regression Analysis
  25. Chapter 18 Analysis of Accelerated Lifeā€Test Data
  26. Chapter 19 More Topics on Accelerated Life Testing
  27. Chapter 20 Degradation Modeling and Destructive Degradation Data Analysis
  28. Chapter 21 Repeatedā€Measures Degradation Modeling and Analysis
  29. Chapter 22 Analysis of Repairable System and Other Recurrent Events Data
  30. Chapter 23 Case Studies and Further Applications
  31. Epilogue
  32. A Notation and Acronyms
  33. B Other Useful Distributions and Probability Distribution Computations
  34. C Some Results from Statistical Theory
  35. D Tables
  36. References
  37. Index
  38. EULA