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Product details:
- ISBN-10 : 0367194848
- ISBN-13 : 978-0367194840
- Author: Kolassa
An Introduction to Nonparametric Statistics presents techniques for statistical analysis in the absence of strong assumptions about the distributions generating the data. Rank-based and resampling techniques are heavily represented, but robust techniques are considered as well. These techniques include one-sample testing and estimation, multi-sample testing and estimation, and regression.
Attention is paid to the intellectual development of the field, with a thorough review of bibliographical references. Computational tools, in R and SAS, are developed and illustrated via examples. Exercises designed to reinforce examples are included.
Table of contents:
1. Background
2. One-Sample Nonparametric Inference
3. Two-Sample Testing
4. Methods for Three or More Groups
5. Group Differences with Blocking
6. Bivariate Methods
7. Multivariate Analysis
8. Density Estimation
9. Regression Function Estimates
10. Resampling Techniques
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