Nonparametric Statistical Inference
eBook - ePub

Nonparametric Statistical Inference

  1. 674 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Nonparametric Statistical Inference

About this book

Praise for previous editions:

"… a classic with a long history." – Statistical Papers

"The fact that the first edition of this book was published in 1971 … [is] testimony to the book's success over a long period." – ISI Short Book Reviews

"… one of the best books available for a theory course on nonparametric statistics. … very well written and organized … recommended for teachers and graduate students." – Biometrics

"… There is no competitor for this book and its comprehensive development and application of nonparametric methods. Users of one of the earlier editions should certainly consider upgrading to this new edition." – Technometrics

"… Useful to students and research workers … a good textbook for a beginning graduate-level course in nonparametric statistics." – Journal of the American Statistical Association

Since its first publication in 1971, Nonparametric Statistical Inference has been widely regarded as the source for learning about nonparametrics. The Sixth Edition carries on this tradition and incorporates computer solutions based on R.

Features

  • Covers the most commonly used nonparametric procedures
  • States the assumptions, develops the theory behind the procedures, and illustrates the techniques using realistic examples from the social, behavioral, and life sciences
  • Presents tests of hypotheses, confidence-interval estimation, sample size determination, power, and comparisons of competing procedures
  • Includes an Appendix of user-friendly tables needed for solutions to all data-oriented examples
  • Gives examples of computer applications based on R, MINITAB, STATXACT, and SAS
  • Lists over 100 new references

Nonparametric Statistical Inference, Sixth Edition, has been thoroughly revised and rewritten to make it more readable and reader-friendly. All of the R solutions are new and make this book much more useful for applications in modern times. It has been updated throughout and contains 100 new citations, including some of the most recent, to make it more current and useful for researchers.

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Yes, you can access Nonparametric Statistical Inference by Jean Dickinson Gibbons,Subhabrata Chakraborti 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. Cover
  2. Half-Title
  3. Title
  4. Copyright
  5. Dedication
  6. Contents
  7. Preface to the Sixth Edition
  8. Author Biographies
  9. 1 Introduction and Fundamentals
  10. 2 Order Statistics, Quantiles, and Coverages
  11. 3 Tests of Randomness
  12. 4 Tests of Goodness of Fit
  13. 5 One-Sample and Paired-Sample Procedures
  14. 6 The General Two-Sample Problem
  15. 7 Linear Rank Statistics and the General Two-Sample Problem
  16. 8 Linear Rank Tests for the Location Problem
  17. 9 Linear Rank Tests for the Scale Problem
  18. 10 Tests of the Equality of k Distributions
  19. 11 Measures of Association for Bivariate Samples
  20. 12 Measures of Association in Multiple Classifications
  21. 13 Asymptotic Relative Efficiency
  22. 14 Analysis of Count Data
  23. 15 Summary
  24. Appendix of Tables
  25. Answers to Selected Problems
  26. References
  27. Index