Statistical Intervals
eBook - PDF

Statistical Intervals

A Guide for Practitioners and Researchers

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

Statistical Intervals

A Guide for Practitioners and Researchers

About this book

Describes statistical intervals to quantify sampling uncertainty, focusing on key application needs and recently developed methodology in an easy-to-apply format

Statistical intervals provide invaluable tools for quantifying sampling uncertainty. The widely hailed first edition, published in 1991, described the use and construction of the most important statistical intervals. Particular emphasis was given to intervals—such as prediction intervals, tolerance intervals and confidence intervals on distribution quantiles—frequently needed in practice, but often neglected in introductory courses.

Vastly improved computer capabilities over the past 25 years have resulted in an explosion of the tools readily available to analysts. This second edition—more than double the size of the first—adds these new methods in an easy-to-apply format. In addition to extensive updating of the original chapters, the second edition includes new chapters on:

  • Likelihood-based statistical intervals
  • Nonparametric bootstrap intervals
  • Parametric bootstrap and other simulation-based intervals
  • An introduction to Bayesian intervals
  • Bayesian intervals for the popular binomial, Poisson and normal distributions
  • Statistical intervals for Bayesian hierarchical models
  • Advanced case studies, further illustrating the use of the newly described methods

New technical appendices provide justification of the methods and pathways to extensions and further applications. A webpage directs readers to current readily accessible computer software and other useful information.

Statistical Intervals: A Guide for Practitioners and Researchers, Second Edition is an up-to-date working guide and reference for all who analyze data, allowing them to quantify the uncertainty in their results using statistical intervals.

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Yes, you can access Statistical Intervals by William Q. Meeker,Gerald J. Hahn,Luis A. Escobar in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2017
Print ISBN
9780471687177
eBook ISBN
9781118594957

Table of contents

  1. Statistical Intervals
  2. Contents
  3. Preface to Second Edition
  4. Preface to First Edition
  5. Acknowledgments
  6. About the Companion Website
  7. Chapter 1 Introduction, Basic Concepts, and Assumptions
  8. Chapter 2 Overview of Different Types of Statistical Intervals
  9. Chapter 3 Constructing Statistical Intervals Assuming a Normal Distribution Using Simple Tabulations
  10. Chapter 4 Methods for Calculating Statistical Intervals for a Normal Distribution
  11. Chapter 5 Distribution-Free Statistical Intervals
  12. Chapter 6 Statistical Intervals for a Binomial Distribution
  13. Chapter 7 Statistical Intervals for a Poisson Distribution
  14. Chapter 8 Sample Size Requirements for Confidence Intervals on Distribution Parameters
  15. Chapter 9 Sample Size Requirements for Tolerance Intervals, Tolerance Bounds, and Related Demonstration Tests
  16. Chapter 10 Sample Size Requirements for Prediction Intervals
  17. Chapter 11 Basic Case Studies
  18. Chapter 12 Likelihood-Based Statistical Intervals
  19. Chapter 13 Nonparametric Bootstrap Statistical Intervals
  20. Chapter 14 Parametric Bootstrap and Other Simulation-Based Statistical Intervals
  21. Chapter 15 Introduction to Bayesian Statistical Intervals
  22. Chapter 16 Bayesian Statistical Intervals for the Binomial, Poisson, and Normal Distributions
  23. Chapter 17 Statistical Intervals for Bayesian Hierarchical Models
  24. Chapter 18 Advanced Case Studies
  25. Epilogue
  26. Appendix A Notation and Acronyms
  27. Appendix B Generic Definition of Statistical Intervals and Formulas for Computing Coverage Probabilities
  28. Appendix C Useful Probability Distributions
  29. Appendix D General Results from Statistical Theory and Some Methods Used to Construct Statistical Intervals
  30. Appendix E Pivotal Methods for Constructing Parametric Statistical Intervals
  31. Appendix F Generalized Pivotal Quantities
  32. Appendix G Distribution-Free Intervals Based on Order Statistics
  33. Appendix H Basic Results from Bayesian Inference Models
  34. Appendix I Probability of Successful Demonstration
  35. Appendix J Tables
  36. References
  37. Index
  38. WILEY SERIES IN PROBABILITY AND STATISTICS
  39. EULA