Comparing Distributions
Comparing Distributions refers to the statistical data analysis that encompasses the traditional goodness-of-fit testing. Whereas the latter includes only formal statistical hypothesis tests for the one-sample and the K-sample problems, this book presents a more general and informative treatment by...
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Format: | Electronic |
Language: | English |
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New York, NY :
Springer New York : Imprint: Springer,
2010.
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Series: | Springer Series in Statistics,
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Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-387-92710-7 |
Table of Contents:
- Part I One-sample problems Introduction
- Preliminaries (building blocks)
- Graphic tools
- Smooth tests
- Methods based on the empirical distribution function
- Part II Two-sample and K-sample problems Introduction
- Preliminaries (building blocks)
- Graphical tools
- Some important two-sample tests
- Smooth tests
- Methods based on the empirical distribution function
- Two final methods and some final thoughts.