
- 326 pages
- English
- PDF
- Available on iOS & Android
Mathematical Nonparametric Statistics
About this book
First published in 1986. Primarily a reference text, Mathematical Nonparametric Statistics provides mathematicians and students with a systematic mathematical analysis and the fine points of nonparametrical statistical procedures and models used in practice. Divided into five sections and beginning with an extensive chapter on the fundamentals of mathematical statistical methods, its coverage of such topics as the Jackknife method, the Kolmogorov-Smirnov statistic, Box's method and the ch-squared test of fit is rigorous. Written for audiences with differing backgounds in mathematics, the book is of special use to those in the management sciences, industrial engineering, psychology and economics, as well as mathematics.
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Information
Table of contents
- Cover
- Half Title
- Title
- Copyright
- Dedication
- Table of Contents
- PREFACE
- 1. FUNDAMENTALS FROM MATHEMATICAL STATISTICAL ANALYSIS
- 2. ORDER STATISTICS
- 3. ONE-SAMPLE PROBLEMS
- 4. TWO-SAMPLE-PROBLEMS
- 5. k-SAMPLE PROBLEMS
- REFERENCES AND AUTHOR INDEX
- SUBJECT INDEX
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