<b>A thorough and definitive book that fully addresses traditional and modern-day topics of nonparametric statistics <p>This book presents a practical approach to nonparametric statistical analysis and provides comprehensive coverage of both established and newly developed methods. With the use of M
Nonparametric Statistics with Applications to Science and Engineering
โ Scribed by Paul H. Kvam, Brani Vidakovic
- Publisher
- Wiley-Interscience
- Year
- 2007
- Tongue
- English
- Leaves
- 446
- Series
- Wiley series in probability and statistics
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
This book presents modern nonparametric statistics from a practical point of view. It is primarily intended for use with engineers and scientists. While the book covers the necessary theorems and methods of rank tests in an applied fashion, the novelty lies in its emphasis on modern nonparametric me
<span>NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING WITH R</span><p><span>Introduction to the methods and techniques of traditional and modern nonparametric statistics, incorporating R code</span></p><p><span>Nonparametric Statistics with Applications to Science and Engineeri
A thorough and definitive book that fully addresses traditional and modern-day topics of nonparametric statisticsThis book presents a practical approach to nonparametric statistical analysis and provides comprehensive coverage of both established and newly developed methods. With the use of MATLAB,
<span>NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING WITH R</span><p><span>Introduction to the methods and techniques of traditional and modern nonparametric statistics, incorporating R code</span></p><p><span>Nonparametric Statistics with Applications to Science and Engineeri
<p>This book is designed as a unified and mathematically rigorous treatment of some recent developments of the asymptotic distribution theory of order statistics (including the extreme order statistics) that are relevant for statistical theory and its applications. Particular emphasis is placed on r