ALTA ALTA Standard Folio Data PHazards: 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.
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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 21:48, 21 May 2012

Webnotes-alta.png
Standard Folio Proportional Hazards

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.


Learn more from...

Helpblue.png the help files...
Book blue.png the theory textbook...
Articleblue.png related article(s)...
Bulbblue.png use example(s)...























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