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A stochastic model of progression of athletic records
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SYSNO ASEP 0359392 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title A stochastic model of progression of athletic records Author(s) Volf, Petr (UTIA-B) RID, ORCID Source Title IMA Journal of Management Mathematics - ISSN 1471-678X
Roč. 22, č. 2 (2011), s. 157-169Number of pages 13 s. Language eng - English Country GB - United Kingdom Keywords sport statistics ; record ; non-linear regression Subject RIV BB - Applied Statistics, Operational Research R&D Projects IAA101120604 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) CEZ AV0Z10750506 - UTIA-B (2005-2011) UT WOS 000289919600005 DOI 10.1093/imaman/dpq010 Annotation A statistical model for development of track and field records is presented. The progression of the best results of each year is fitted by a non-linear regression model with non-constant variance. On this basis, the probability of a new record occurrence as well as the distribution of a new record improvement are derived. We also discuss the problems of record prediction and the existence of ultimate records. Our application deals with the men’s 100m sprint and the men’s long-jump data. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2012
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