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Adaptive Neyman's smooth tests of homegeneity of two samples of survival data
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SYSNO ASEP 0330346 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Ostatní články Title Adaptive Neyman's smooth tests of homegeneity of two samples of survival data Title Adaptivní Neymanův test homogenity dvou výběrů v analýze přežití Author(s) Kraus, David (UTIA-B) Source Title Journal of Statistical Planning and Inference. - : Elsevier - ISSN 0378-3758
Roč. 139, č. 10 (2009), s. 3559-3569Number of pages 11 s. Publication form www - www Language eng - English Country NL - Netherlands Keywords Two-sample test ; Neyman's smooth tets ; Survival analysis Subject RIV BB - Applied Statistics, Operational Research R&D Projects IAA101120604 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) 1M06047 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z10750506 - UTIA-B (2005-2011) DOI 10.1016/j.jspi.2009.04.009 Annotation The aim is to develop a two-sample test for detection of a wide spectrum of alternatives. A new class of tests based on Neyman's embedding idea is proposed. The null hypothesis is tested against functional alternatives. A data-driven approach to the selection of these alternatives is studied. Asymptotic properties of tests are investigated and small-sample performance is explored, too. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2010
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