Can I read Statistical Tests of Nonparametric Hypotheses : Asymptotic Theory on EtoBox?

Statistical Tests of Nonparametric Hypotheses : Asymptotic Theory by Odile Pons, French National Institute for Agronomical Research, France is a nonfiction available to read on EtoBox.

What is Statistical Tests of Nonparametric Hypotheses : Asymptotic Theory about?

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. Readership: Researchers and graduates in the field of probability and statistics, and biomathematics.

Who reads Statistical Tests of Nonparametric Hypotheses : Asymptotic Theory?

Author

Odile Pons, French National Institute for Agronomical Research, France

Publisher

World Scientific Publishing Company

Published

2013

Language

EN

ISBN

9789814531740

Category

nonfiction

Subjects

Mathematics, Stem