Nonparametric Statistical Inference

ISBN-13: 9781138087446 / Angielski / Twarda / 2020 / 674 str.

Jean Dickinson Gibbons; Subhabrata Chakraborti

Opis

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.

Spis treści

Preface to the Sixth Edition. Author Biographies. 1. Introduction and Fundamentals. 2. Order Statistics, Quantiles, and Coverages. 3. Tests of Randomness. 4. Tests of Goodness of Fit. 5. One-Sample and Paired-Sample Procedures. 6. The General Two-Sample Problem. 7. Linear Rank Statistics and the General Two-Sample Problem. 8. Linear Rank Tests for the Location Problem. 9. Linear Rank Tests for the Scale Problem. 10. Tests of the Equality of k Distributions. 11. Measures of Association for Bivariate Samples. 12. Measures of Association in Multiple Classifications. 13. Asymptotic Relative Efficiency. 14. Analysis of Count Data. 15. Summary. Appendix of Tables. Answers to Selected Problems. References. Index.