NONPARAMETRIC INFERENCE
by Z Govindarajulu (University of Kentucky, USA)
This book provides a solid foundation on nonparametric inference for students taking a graduate course in nonparametric statistics and serves as an easily accessible source for researchers in the area.
With the exception of some sections requiring familiarity with measure theory, readers with an advanced calculus background will be comfortable with the material.
Contents:
- Statistical Terminology
- Order Statistics
- Ordered Least Squares
Estimators
- Review of Parametric Testing
- Goodness of Fit Tests
- Randomness Tests Based on Runs
- Permutation Tests
- Rank Order Tests
- c-Sample Tests for Scale
- c-Sample Tests for Ordered Alternatives
- Useful Asymptotic Results
- Asymptotic Theory of CS-Class of Statistics
- CS Class for One Sample Case
- and other papers
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Readership: Graduate students in nonparametric statistics.
