<P><EM>A Practical Guide to Implementing Nonparametric and Rank-Based Procedures</EM></P> <P></P> <P><STRONG>Nonparametric Statistical Methods Using R</STRONG> covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location
Nonparametric Statistical Methods Using R
โ Scribed by Myles Hollander; Douglas A Wolfe
- Publisher
- CRC
- Year
- 2014
- Tongue
- English
- Leaves
- 283
- Series
- Chapman & Hall/CRC The R Series
- Edition
- 2nd ed
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
"This Second Edition of Myles Hollander and Douglas A. Wolfe's successful Nonparametric Statistical Methods meets the needs of a new generation of users, with completely up-to-date coverage of this important statistical area. Like its predecessor, the revised edition, along with its companion ftp
The dichotomous data problem. The one-sample location problem. Paired replicates analyses by way of signed ranks. Paired replicates analyses by way of signs. One-sample data. The two-sample location problem. The two-sample dispersion problem. Medians known or equal. Medians unknown and unequal. The
"In this third edition we have improved the eleven chapters of the second edition and added five new chapters. Also organized all of the R programs used in this third edition into a documented collection that is formally registered as an R package specifically linked to this third edition. "--</div>
This new edition follows the basic easy-to-digest pattern that was so well received by users of the earlier editions. The authors substantially update and expand Applied Nonparametric Statistical Methods to reflect changing attitudes towards applied statistics, new developments, and the impact of mo
"Often referred to as distribution-free methods, nonparametric methods do not rely on assumptions that the data are drawn from a given probability distribution. With an emphasis on Wilcoxon rank methods that enable a unified approach to data analysis, this book presents a unique overview of robust n