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Description
  • The present paper deals with the goodness of fit and the twosample problem related to the event-history type data. The proposed methods are derived from bayesian nonparametric approach and take advantage of MCMC estimation of the hazard rate. The technique is based on Bayes construction of martingale residuals.
  • The present paper deals with the goodness of fit and the twosample problem related to the event-history type data. The proposed methods are derived from bayesian nonparametric approach and take advantage of MCMC estimation of the hazard rate. The technique is based on Bayes construction of martingale residuals. (en)
Title
  • Testing homogeneity and goodness of fit in survival data
  • Testing homogeneity and goodness of fit in survival data (en)
skos:prefLabel
  • Testing homogeneity and goodness of fit in survival data
  • Testing homogeneity and goodness of fit in survival data (en)
skos:notation
  • RIV/67985556:_____/09:00334627!RIV10-AV0-67985556
http://linked.open...avai/riv/aktivita
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  • P(GD201/05/H007), P(IAA101120604), Z(AV0Z10750506)
http://linked.open...vai/riv/dodaniDat
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  • 346002
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  • RIV/67985556:_____/09:00334627
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  • survival analysis; MCMC; martingale residuals (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [833EE0DE00DB]
http://linked.open...v/mistoKonaniAkce
  • Pribylina
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  • Praha
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  • ROBUST 2008 - Sborník prací 15. letní školy JČMF Robust 2008
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
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http://linked.open...UplatneniVysledku
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  • Timková, Jana
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
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number of pages
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  • JČMF
https://schema.org/isbn
  • 978-80-7015-004-7
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