Theory of rank tests:
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
San Diego, Calif.
Academic Press
1999
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Ausgabe: | 2nd ed |
Schriftenreihe: | Probability and mathematical statistics
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Schlagworte: | |
Beschreibung: | Print version record |
Beschreibung: | 1 online resource (xiv, 435 pages) |
ISBN: | 0585492298 9780585492292 9780126423501 0126423504 |
Internformat
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245 | 1 | 0 | |a Theory of rank tests |c Jaroslav Hajek, Zbynek Sidak, Pranab K. Sen |
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264 | 1 | |a San Diego, Calif. |b Academic Press |c 1999 | |
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505 | 8 | |a The first edition of Theory of Rank Tests (1967) has been the precursor to a unified and theoretically motivated treatise of the basic theory of tests based on ranks of the sample observations. For more than 25 years, it helped raise a generation of statisticians in cultivating their theoretical research in this fertile area, as well as in using these tools in their application oriented research. The present edition not only aims to revive this classical text by updating the findings but also by incorporating several other important areas which were either not properly developed before 1965 or have gone through an evolutionary development during the past 30 years. This edition therefore aims to fulfill the needs of academic as well as professional statisticians who want to pursue nonparametrics in their academic projects, consultation, and applied research works. Key Features * Asymptotic Methods * Nonparametrics * Convergence of Probability Measures * Statistical Inference | |
650 | 7 | |a MATHEMATICS / Applied |2 bisacsh | |
650 | 7 | |a MATHEMATICS / Probability & Statistics / General |2 bisacsh | |
650 | 7 | |a Ranking and selection (Statistics) |2 fast | |
650 | 7 | |a Statistical hypothesis testing |2 fast | |
650 | 7 | |a Hypothesetoetsing |2 gtt | |
650 | 7 | |a Asymptotische analyse |2 gtt | |
650 | 4 | |a Ranking and selection (Statistics) |a Statistical hypothesis testing | |
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Datensatz im Suchindex
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---|---|
any_adam_object | |
author | Hajek, Jaroslav |
author_facet | Hajek, Jaroslav |
author_role | aut |
author_sort | Hajek, Jaroslav |
author_variant | j h jh |
building | Verbundindex |
bvnumber | BV045341013 |
classification_rvk | SK 840 |
collection | ZDB-4-ENC |
contents | The first edition of Theory of Rank Tests (1967) has been the precursor to a unified and theoretically motivated treatise of the basic theory of tests based on ranks of the sample observations. For more than 25 years, it helped raise a generation of statisticians in cultivating their theoretical research in this fertile area, as well as in using these tools in their application oriented research. The present edition not only aims to revive this classical text by updating the findings but also by incorporating several other important areas which were either not properly developed before 1965 or have gone through an evolutionary development during the past 30 years. This edition therefore aims to fulfill the needs of academic as well as professional statisticians who want to pursue nonparametrics in their academic projects, consultation, and applied research works. Key Features * Asymptotic Methods * Nonparametrics * Convergence of Probability Measures * Statistical Inference |
ctrlnum | (ZDB-4-ENC)ocm54379797 (OCoLC)54379797 (DE-599)BVBBV045341013 |
dewey-full | 519 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519 |
dewey-search | 519 |
dewey-sort | 3519 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
edition | 2nd ed |
format | Electronic eBook |
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illustrated | Not Illustrated |
indexdate | 2024-07-10T08:15:24Z |
institution | BVB |
isbn | 0585492298 9780585492292 9780126423501 0126423504 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030727716 |
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physical | 1 online resource (xiv, 435 pages) |
psigel | ZDB-4-ENC |
publishDate | 1999 |
publishDateSearch | 1999 |
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publisher | Academic Press |
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series2 | Probability and mathematical statistics |
spelling | Hajek, Jaroslav Verfasser aut Theory of rank tests Jaroslav Hajek, Zbynek Sidak, Pranab K. Sen 2nd ed San Diego, Calif. Academic Press 1999 1 online resource (xiv, 435 pages) txt rdacontent c rdamedia cr rdacarrier Probability and mathematical statistics Print version record The first edition of Theory of Rank Tests (1967) has been the precursor to a unified and theoretically motivated treatise of the basic theory of tests based on ranks of the sample observations. For more than 25 years, it helped raise a generation of statisticians in cultivating their theoretical research in this fertile area, as well as in using these tools in their application oriented research. The present edition not only aims to revive this classical text by updating the findings but also by incorporating several other important areas which were either not properly developed before 1965 or have gone through an evolutionary development during the past 30 years. This edition therefore aims to fulfill the needs of academic as well as professional statisticians who want to pursue nonparametrics in their academic projects, consultation, and applied research works. Key Features * Asymptotic Methods * Nonparametrics * Convergence of Probability Measures * Statistical Inference MATHEMATICS / Applied bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Ranking and selection (Statistics) fast Statistical hypothesis testing fast Hypothesetoetsing gtt Asymptotische analyse gtt Ranking and selection (Statistics) Statistical hypothesis testing Rangtest (DE-588)4210732-5 gnd rswk-swf Rangtest (DE-588)4210732-5 s 1\p DE-604 Sidak, Zbynek Sonstige oth Sen, Pranab Kumar 1937- Sonstige oth Erscheint auch als Druck-Ausgabe Hajek, Jaroslav Theory of rank tests 2nd ed San Diego, Calif. : Academic Press, 1999 0126423504 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Hajek, Jaroslav Theory of rank tests The first edition of Theory of Rank Tests (1967) has been the precursor to a unified and theoretically motivated treatise of the basic theory of tests based on ranks of the sample observations. For more than 25 years, it helped raise a generation of statisticians in cultivating their theoretical research in this fertile area, as well as in using these tools in their application oriented research. The present edition not only aims to revive this classical text by updating the findings but also by incorporating several other important areas which were either not properly developed before 1965 or have gone through an evolutionary development during the past 30 years. This edition therefore aims to fulfill the needs of academic as well as professional statisticians who want to pursue nonparametrics in their academic projects, consultation, and applied research works. Key Features * Asymptotic Methods * Nonparametrics * Convergence of Probability Measures * Statistical Inference MATHEMATICS / Applied bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Ranking and selection (Statistics) fast Statistical hypothesis testing fast Hypothesetoetsing gtt Asymptotische analyse gtt Ranking and selection (Statistics) Statistical hypothesis testing Rangtest (DE-588)4210732-5 gnd |
subject_GND | (DE-588)4210732-5 |
title | Theory of rank tests |
title_auth | Theory of rank tests |
title_exact_search | Theory of rank tests |
title_full | Theory of rank tests Jaroslav Hajek, Zbynek Sidak, Pranab K. Sen |
title_fullStr | Theory of rank tests Jaroslav Hajek, Zbynek Sidak, Pranab K. Sen |
title_full_unstemmed | Theory of rank tests Jaroslav Hajek, Zbynek Sidak, Pranab K. Sen |
title_short | Theory of rank tests |
title_sort | theory of rank tests |
topic | MATHEMATICS / Applied bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Ranking and selection (Statistics) fast Statistical hypothesis testing fast Hypothesetoetsing gtt Asymptotische analyse gtt Ranking and selection (Statistics) Statistical hypothesis testing Rangtest (DE-588)4210732-5 gnd |
topic_facet | MATHEMATICS / Applied MATHEMATICS / Probability & Statistics / General Ranking and selection (Statistics) Statistical hypothesis testing Hypothesetoetsing Asymptotische analyse Ranking and selection (Statistics) Statistical hypothesis testing Rangtest |
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