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Theory of nonparametric tests

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...

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Detalles Bibliográficos
Autor principal: Dickhaus, Thorsten
Lenguaje:eng
Publicado: Springer 2018
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-76315-6
http://cds.cern.ch/record/2311293
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author Dickhaus, Thorsten
author_facet Dickhaus, Thorsten
author_sort Dickhaus, Thorsten
collection CERN
description 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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spelling cern-23112932021-04-21T18:52:29Zdoi:10.1007/978-3-319-76315-6http://cds.cern.ch/record/2311293engDickhaus, ThorstenTheory of nonparametric testsMathematical Physics and MathematicsThis 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.Springeroai:cds.cern.ch:23112932018
spellingShingle Mathematical Physics and Mathematics
Dickhaus, Thorsten
Theory of nonparametric tests
title Theory of nonparametric tests
title_full Theory of nonparametric tests
title_fullStr Theory of nonparametric tests
title_full_unstemmed Theory of nonparametric tests
title_short Theory of nonparametric tests
title_sort theory of nonparametric tests
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-76315-6
http://cds.cern.ch/record/2311293
work_keys_str_mv AT dickhausthorsten theoryofnonparametrictests