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Statistical Tests of Nonparametric Hypotheses
Contributor(s): Odile Pons (Author)
ISBN: 981453174X     ISBN-13: 9789814531740
Publisher: World Scientific Publishing Company
OUR PRICE:   $104.50  
Product Type: Hardcover - Other Formats
Published: October 2013
Qty:
Additional Information
BISAC Categories:
- Mathematics | Probability & Statistics - General
- Mathematics | Study & Teaching
- Mathematics | Applied
Dewey: 519.54
LCCN: 2013027370
Physical Information: 0.9" H x 6.2" W x 9.1" (1.25 lbs) 304 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
An overview of the asymptotic theory of optimal nonparametric tests is presented in this book. It covers a wide range of topics: Neyman-Pearson and LeCam's theories of optimal tests, the theories of empirical processes and kernel estimators with extensions of their applications to the asymptotic behavior of tests for distribution functions, densities and curves of the nonparametric models defining the distributions of point processes and diffusions. With many new test statistics developed for smooth curves, the reliance on kernel estimators with bias corrections and the weak convergence of the estimators are useful to prove the asymptotic properties of the tests, extending the coverage to semiparametric models. They include tests built from continuously observed processes and observations with cumulative intervals.