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Theory of nonparametric tests

Dickhaus, Thorsten.

Theory of nonparametric tests

Record Type:	Electronic resources : Monograph/item
Title/Author:	Theory of nonparametric testsby Thorsten Dickhaus.
Author:	Dickhaus, Thorsten.
Published:	Cham :Springer International Publishing :2018.
Description:	x, 124 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Nonparametric statistics.
Online resource:	http://dx.doi.org/10.1007/978-3-319-76315-6
ISBN:	9783319763156$q(electronic bk.)

Theory of nonparametric tests
Dickhaus, Thorsten.

Theory of nonparametric tests[electronic resource] /by Thorsten Dickhaus. - Cham :Springer International Publishing :2018. - x, 124 p. :ill. (some col.), digital ;24 cm.

Introduction and Examples -- Empirical Measure, Empirical Processes -- Goodness-of-fit Tests -- Rank Tests -- Asymptotics of Linear Resampling Statistics -- Bootstrap Methods for Linear Models -- Projection Tests -- Some Extensions.

This textbook provides a self-contained presentation of the main concepts and methods of nonparametric statistical testing, with a particular focus on the theoretical foundations of goodness-of-fit tests, rank tests, resampling tests, and projection tests. The substitution principle is employed as a unified approach to the nonparametric test problems discussed. In addition to mathematical theory, it also includes numerous examples and computer implementations. The book is intended for advanced undergraduate, graduate, and postdoc students as well as young researchers. Readers should be familiar with the basic concepts of mathematical statistics typically covered in introductory statistics courses.

ISBN: 9783319763156$q(electronic bk.)

Standard No.: 10.1007/978-3-319-76315-6doiSubjects--Topical Terms:

182700
Nonparametric statistics.

LC Class. No.: QA278.8 / .D53 2018

Dewey Class. No.: 519.5

Theory of nonparametric tests
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100 1 $a Dickhaus, Thorsten. $3 678300
245 1 0 $a Theory of nonparametric tests $h [electronic resource] / $c by Thorsten Dickhaus.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a x, 124 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Introduction and Examples -- Empirical Measure, Empirical Processes -- Goodness-of-fit Tests -- Rank Tests -- Asymptotics of Linear Resampling Statistics -- Bootstrap Methods for Linear Models -- Projection Tests -- Some Extensions.
520 $a This textbook provides a self-contained presentation of the main concepts and methods of nonparametric statistical testing, with a particular focus on the theoretical foundations of goodness-of-fit tests, rank tests, resampling tests, and projection tests. The substitution principle is employed as a unified approach to the nonparametric test problems discussed. In addition to mathematical theory, it also includes numerous examples and computer implementations. The book is intended for advanced undergraduate, graduate, and postdoc students as well as young researchers. Readers should be familiar with the basic concepts of mathematical statistics typically covered in introductory statistics courses.
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950 $a Mathematics and Statistics (Springer-11649)