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Description
  • The contribution deals with the Cox's regression model and with its application to the analysis of group ed data, when both the numbers of followed objects and the numbers of observed events are summarized in discrete time periods and covariate classes. The formulation of the model and the procedure of estimation of its parameters are presented. A numerical example shows the analysis of grouped unemployment data.
  • The contribution deals with the Cox's regression model and with its application to the analysis of group ed data, when both the numbers of followed objects and the numbers of observed events are summarized in discrete time periods and covariate classes. The formulation of the model and the procedure of estimation of its parameters are presented. A numerical example shows the analysis of grouped unemployment data. (en)
Title
  • On regression models of survival analysis and application to grouped unemployment data.
  • On regression models of survival analysis and application to grouped unemployment data. (en)
skos:prefLabel
  • On regression models of survival analysis and application to grouped unemployment data.
  • On regression models of survival analysis and application to grouped unemployment data. (en)
skos:notation
  • RIV/67985556:_____/01:16010089!RIV/2003/AV0/A16003/N
http://linked.open.../vavai/riv/strany
  • 193;198
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  • P(GA402/01/0539), Z(AV0Z1075907)
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  • 689926
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  • RIV/67985556:_____/01:16010089
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  • mathematical statistics; survival analysis; Cox's model (en)
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  • [F97FAF6423F3]
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  • Hradec Králové [CZ]
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  • Praha
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  • Proceedings of the 19th International Conference on Mathematical Methods in Economics 2001.
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  • Volf, Petr
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number of pages
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  • Vysoká škola ekonomická v Praze
https://schema.org/isbn
  • 80-245-0196-1
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