Standard

Asymptotic efficiency of nonparametric tests.- 2nd edition. / Nikitin, Ya.Yu.

Cambridge University Press, 2009.

Результаты исследований: Книги, отчёты, сборникикнига, в т.ч. монография, учебник

Harvard

APA

Vancouver

Author

BibTeX

@book{73877931d1c84ab880d88a7640386643,
title = "Asymptotic efficiency of nonparametric tests.- 2nd edition.",
abstract = "Making a substantiated choice of the most efficient statistical test of several ones being at the disposal of the statistician is regarded as one of the basic problems of statistics. According to the classical Neyman--Pearson theory the most powerful uniform tests are considered the best. However it is widely known that they exist merely in a narrow class of statistical models which do not fully cover the diversity of problems arising in theory and practice. One can still say that within the framework of parametric statistics this problem is not at all crucial. The point is that quite formal methods of constructing tests have been developed, e.g., Bayes or likelihood ratio. They possess a number of remarkable properties and usually turn out to be asymptotically optimal in a sense of one or another definition of this concept. Therefore the problem of comparing nonparametric tests on the basis of some quantitative characteristic that will make it possible to realize ordering these",
keywords = "asymptotic efficiency, exact slope, large deviations, Fisher information, Kolmogorov tests, rank vector",
author = "Ya.Yu. Nikitin",
year = "2009",
language = "English",
isbn = "978-0-521-11592-6",
publisher = "Cambridge University Press",
address = "United Kingdom",

}

RIS

TY - BOOK

T1 - Asymptotic efficiency of nonparametric tests.- 2nd edition.

AU - Nikitin, Ya.Yu.

PY - 2009

Y1 - 2009

N2 - Making a substantiated choice of the most efficient statistical test of several ones being at the disposal of the statistician is regarded as one of the basic problems of statistics. According to the classical Neyman--Pearson theory the most powerful uniform tests are considered the best. However it is widely known that they exist merely in a narrow class of statistical models which do not fully cover the diversity of problems arising in theory and practice. One can still say that within the framework of parametric statistics this problem is not at all crucial. The point is that quite formal methods of constructing tests have been developed, e.g., Bayes or likelihood ratio. They possess a number of remarkable properties and usually turn out to be asymptotically optimal in a sense of one or another definition of this concept. Therefore the problem of comparing nonparametric tests on the basis of some quantitative characteristic that will make it possible to realize ordering these

AB - Making a substantiated choice of the most efficient statistical test of several ones being at the disposal of the statistician is regarded as one of the basic problems of statistics. According to the classical Neyman--Pearson theory the most powerful uniform tests are considered the best. However it is widely known that they exist merely in a narrow class of statistical models which do not fully cover the diversity of problems arising in theory and practice. One can still say that within the framework of parametric statistics this problem is not at all crucial. The point is that quite formal methods of constructing tests have been developed, e.g., Bayes or likelihood ratio. They possess a number of remarkable properties and usually turn out to be asymptotically optimal in a sense of one or another definition of this concept. Therefore the problem of comparing nonparametric tests on the basis of some quantitative characteristic that will make it possible to realize ordering these

KW - asymptotic efficiency

KW - exact slope

KW - large deviations

KW - Fisher information

KW - Kolmogorov tests

KW - rank vector

M3 - Book

SN - 978-0-521-11592-6

BT - Asymptotic efficiency of nonparametric tests.- 2nd edition.

PB - Cambridge University Press

ER -

ID: 4234079