Theory of Nonparametric Tests

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Special Collection:e-book
Format: Book
Language:English
Published: Cham : : Springer International Publishing : : Imprint: Springer,, 2018
Edition:1st ed. 2018.
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Online Access:https://doi.org/10.1007/978-3-319-76315-6
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id opac-EUL01-000979597
collection e-book
institution L_200
EUL01
spelling Dickhaus, Thorsten. szerző aut http://id.loc.gov/vocabulary/relators/aut
Theory of Nonparametric Tests by Thorsten Dickhaus.
1st ed. 2018.
Cham : Springer International Publishing : Imprint: Springer, 2018
X, 124 p. online forrás, ill.
szöveg txt rdacontent
számítógépes c rdamedia
távoli hozzáférés cr rdacarrier
szövegfájl PDF rda
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.
Nyomtatott kiadás: ISBN 9783319763149
Nyomtatott kiadás: ISBN 9783319763163
Nyomtatott kiadás: ISBN 9783030094621
Az e-könyvek a teljes ELTE IP-tartományon belül online elérhetők.
könyv
e-book
Mathematical statistics. EUL10000079757 Y
Statistics. EUL10000081563 Y
Statistical Theory and Methods.
Statistics for Business, Management, Economics, Finance, Insurance.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Statistics for Social Sciences, Humanities, Law.
Statistics for Life Sciences, Medicine, Health Sciences.
elektronikus könyv
SpringerLink (Online service) közreadó testület
Online változat https://doi.org/10.1007/978-3-319-76315-6
EUL01
language English
format Book
author Dickhaus, Thorsten., szerző
spellingShingle Dickhaus, Thorsten., szerző
Theory of Nonparametric Tests
Mathematical statistics.
Statistics.
Statistical Theory and Methods.
Statistics for Business, Management, Economics, Finance, Insurance.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Statistics for Social Sciences, Humanities, Law.
Statistics for Life Sciences, Medicine, Health Sciences.
elektronikus könyv
author_facet Dickhaus, Thorsten., szerző
SpringerLink (Online service), közreadó testület
author_corporate SpringerLink (Online service), közreadó testület
author_sort Dickhaus, Thorsten.
title Theory of Nonparametric Tests
title_short Theory of Nonparametric Tests
title_full Theory of Nonparametric Tests by Thorsten Dickhaus.
title_fullStr Theory of Nonparametric Tests by Thorsten Dickhaus.
title_full_unstemmed Theory of Nonparametric Tests by Thorsten Dickhaus.
title_auth Theory of Nonparametric Tests
title_sort theory of nonparametric tests
publishDate 2018
publishDateSort 2018
physical X, 124 p. : online forrás, ill.
edition 1st ed. 2018.
isbn 978-3-319-76315-6
callnumber-first Q - Science
callnumber-subject QA - Mathematics
callnumber-label QA276-280
callnumber-raw e-book
callnumber-search e-book
topic Mathematical statistics.
Statistics.
Statistical Theory and Methods.
Statistics for Business, Management, Economics, Finance, Insurance.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Statistics for Social Sciences, Humanities, Law.
Statistics for Life Sciences, Medicine, Health Sciences.
elektronikus könyv
topic_facet Mathematical statistics.
Statistics.
Statistical Theory and Methods.
Statistics for Business, Management, Economics, Finance, Insurance.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Statistics for Social Sciences, Humanities, Law.
Statistics for Life Sciences, Medicine, Health Sciences.
elektronikus könyv
Mathematical statistics.
Statistics.
Statistical Theory and Methods.
Statistics for Business, Management, Economics, Finance, Insurance.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Statistics for Social Sciences, Humanities, Law.
Statistics for Life Sciences, Medicine, Health Sciences.
url https://doi.org/10.1007/978-3-319-76315-6
illustrated Illustrated
dewey-hundreds 500 - Science
dewey-tens 510 - Mathematics
dewey-ones 519 - Probabilities & applied mathematics
dewey-full 519.5
dewey-sort 3519.5
dewey-raw 519.5
dewey-search 519.5
first_indexed 2023-12-26T23:13:22Z
last_indexed 2023-12-29T19:17:07Z
recordtype opac
publisher Cham : : Springer International Publishing : : Imprint: Springer,
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score 13,370368
generalnotes 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.