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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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Lenguaje: | eng |
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Springer
2018
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Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-76315-6 http://cds.cern.ch/record/2311293 |
_version_ | 1780957878644899840 |
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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. |
id | cern-2311293 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2018 |
publisher | Springer |
record_format | invenio |
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 |