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Theory of nonparametric tests

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Theory of nonparametric tests/ by Thorsten Dickhaus.
作者:	Dickhaus, Thorsten.
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	x, 124 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Nonparametric statistics. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-76315-6
ISBN:	9783319763156

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

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

527779
Nonparametric statistics.

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

Dewey Class. No.: 519.5

Theory of nonparametric tests
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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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