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Description
  • A nonlinear regression model is considered for the description of survival of machine parts under different stresses. The model parameters are estimated by the method of regression quantiles. The procedure of estimation is presented and the advantages of the approach are shown on a real-data case, namely that the method is applicable without any knowledge of the distribution of errors and that it is robust against outliers. The case of censored data is discussed, too.
  • A nonlinear regression model is considered for the description of survival of machine parts under different stresses. The model parameters are estimated by the method of regression quantiles. The procedure of estimation is presented and the advantages of the approach are shown on a real-data case, namely that the method is applicable without any knowledge of the distribution of errors and that it is robust against outliers. The case of censored data is discussed, too. (en)
Title
  • Nonlinear quantile regression survival analysis.
  • Nonlinear quantile regression survival analysis. (en)
skos:prefLabel
  • Nonlinear quantile regression survival analysis.
  • Nonlinear quantile regression survival analysis. (en)
skos:notation
  • RIV/67985556:_____/00:16000046!RIV/2003/AV0/A16003/N
http://linked.open.../vavai/riv/strany
  • 864;867
http://linked.open...avai/riv/aktivita
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  • P(VS97084), Z(AV0Z1075907)
http://linked.open...vai/riv/dodaniDat
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  • 719383
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  • RIV/67985556:_____/00:16000046
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  • N/A (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [724855B78B08]
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  • Bordeaux [FR]
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  • Bordeaux
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  • Conférence Internationale sur les Méthodes Mathématiques en Fiabilité.
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http://linked.open...UplatneniVysledku
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  • Picek, J.
  • Volf, Petr
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
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  • Université Victor Segalen
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