Nonparametric Statistical Inference (eBook)

Subhabrata Chakraborti, Jean Dickinson Gibbons (Autoren)

eBook Download: PDF

2020
694 Seiten
CRC Press (Verlag)
978-1-351-61617-1 (ISBN)

Infos

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.

Produkt-Details

• Erscheint lt. Verlag: 22.12.2020
• Sprache: englisch
• Themenwelt: Geisteswissenschaften ► Psychologie ► Allgemeine Psychologie
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Naturwissenschaften
• Themenwelt: Sozialwissenschaften ► Soziologie
• ISBN-10: 1-351-61617-X / 135161617X
• ISBN-13: 978-1-351-61617-1 / 9781351616171