Description:An overview of the asymptotic theory of optimal nonparametric tests is presented in this book. It covers a wide range of 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Statistical Tests Of Nonparametric Hypotheses: Asymptotic Theory. To get started finding Statistical Tests Of Nonparametric Hypotheses: Asymptotic Theory, you are right to find our website which has a comprehensive collection of manuals listed. Our library is the biggest of these that have literally hundreds of thousands of different products represented.
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Format
PDF, EPUB & Kindle Edition
Publisher
World Scientific
Release
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ISBN
9814531766
Statistical Tests Of Nonparametric Hypotheses: Asymptotic Theory
Description: An overview of the asymptotic theory of optimal nonparametric tests is presented in this book. It covers a wide range of 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Statistical Tests Of Nonparametric Hypotheses: Asymptotic Theory. To get started finding Statistical Tests Of Nonparametric Hypotheses: Asymptotic Theory, you are right to find our website which has a comprehensive collection of manuals listed. Our library is the biggest of these that have literally hundreds of thousands of different products represented.