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Statistical Tests Of Nonparametric Hypotheses

STTSTCL TESTS NONPARAMETRIC HYPOTHESES: ASYMPTOTIC THRY

Mathematics

Mathematics & Science

Gt Product Group

Binding Format

Marketing Imprint Name

B2B GT

CL Carton Count

Imprint Name

B2B & B2C

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 LeCams 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.

POST SECONDARY FOUR YEAR

COLFR

COLSO

COLJR

COLSR

Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Preface.
Contents.
1: Introduction.
2: Asymptotic Theory.
3: Nonparametric Tests for One Sample.
4: Two-Sample Tests.
5: Multi-Dimensional Tests.
6: Nonparametric Tests for Processes.
7: Nonparametric Tests under Censoring or Truncation.
8: Sequential Tests.
Functional Estimation and Probability.
Bibliography.
Index.

Statistical Tests Of Nonparametric Hypotheses.css-1p8rvzy{position:absolute;padding-left:8px;}

Statistical Tests Of Nonparametric Hypotheses