Nonparametric multivariate rank tests and their unbiasedness
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10104509" target="_blank" >RIV/00216208:11320/12:10104509 - isvavai.cz</a>
Alternative codes found
RIV/67985807:_____/12:00383505
Result on the web
<a href="http://10.3150/10-BEJ326" target="_blank" >http://10.3150/10-BEJ326</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Nonparametric multivariate rank tests and their unbiasedness
Original language description
Paper considers two sample multivariate testing problem. We construct several rank tests, which are finite-sample unbiased against a broad class of location/scale alternatives and are finite-sample distribution free, under the hypothesis and alternatives. Everyone of them is locally most powerful against a specific alternative of the Lehmann type. Their powers against some alternatives are numerically compared with each others and with other rank and classical tests. The question of affine invariance oftwo-sample multivariate tests is discussed.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Bernoulli
ISSN
1350-7265
e-ISSN
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Volume of the periodical
18
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
23
Pages from-to
229-251
UT code for WoS article
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EID of the result in the Scopus database
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