ALTA ALTA Standard Folio Data PPH-Weibull: Difference between revisions

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Introduced by D. R. Cox, the Proportional Hazards (PH) model was developed in order to estimate the effects of different covariates influencing the times-to-failure of a system. The model has been widely used in the biomedical field, and recently there has been an increasing interest in its application in reliability engineering. In its original form, the model is non-parametric, i.e. no assumptions are made about the nature or shape of the underlying failure distribution.  In ALTA, the proportional hazards model is included in its parametric form and can be used to analyze data with up to eight variables.
Introduced by D. R. Cox, the Proportional Hazards (PH) model was developed in order to estimate the effects of different covariates influencing the times-to-failure of a system. The model has been widely used in the biomedical field, and recently there has been an increasing interest in its application in reliability engineering. In its original form, the model is non-parametric, i.e. no assumptions are made about the nature or shape of the underlying failure distribution.  In ALTA, the proportional hazards model is included in its parametric form and can be used to analyze data with up to eight variables.
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| [http://help.synthesis8.com/weibull_alta8/alta_standard_folios.htm the help files...]
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| [http://reliawiki.org/index.php/Multivariable_Relationships:_General_Log-Linear_and_Proportional_Hazards the theory textbook...] 
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| [http://www.weibull.com/hotwire/issue9/hottopics9.htm related article(s)...]
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| [http://reliawiki.com/index.php/Proportional_Hazards_Medical_Data_Example use example(s)...]
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Revision as of 03:53, 26 July 2012

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Standard Folio Proportional Hazards-Weibull

Introduced by D. R. Cox, the Proportional Hazards (PH) model was developed in order to estimate the effects of different covariates influencing the times-to-failure of a system. The model has been widely used in the biomedical field, and recently there has been an increasing interest in its application in reliability engineering. In its original form, the model is non-parametric, i.e. no assumptions are made about the nature or shape of the underlying failure distribution. In ALTA, the proportional hazards model is included in its parametric form and can be used to analyze data with up to eight variables.


















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