Statistical Tests Of Nonparametric Hypotheses: Asymptotic Theory (Hardcover)

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.

General

Imprint:	World Scientific Publishing Co Pte Ltd
Country of origin:	Singapore
Release date:	November 2013
First published:	December 2013
Authors:	Odile Pons
Dimensions:	231 x 157 x 23mm (L x W x T)
Format:	Hardcover
Pages:	304
ISBN-13:	978-981-4531-74-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	981-4531-74-X
Barcode:	9789814531740

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!