ALTA ALTA Standard Folio Data PPH-Exponential: Difference between revisions
Jump to navigation
Jump to search
Nikki Helms (talk | contribs) No edit summary |
No edit summary |
||
Line 6: | Line 6: | ||
{| class="FCK__ShowTableBorders" border="0" cellspacing="1" cellpadding="1" | {| class="FCK__ShowTableBorders" border="0" cellspacing="1" cellpadding="1" | ||
|- | |- | ||
| valign="middle" |{{Font|Standard Folio | | valign="middle" |{{Font|Standard Folio Proportional Hazards-Exponential|11|tahoma|bold|gray}} | ||
|- | |- | ||
| valign="middle" | | | valign="middle" | | ||
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. | |||
|} | |} | ||
<br> | <br> |
Revision as of 18:38, 16 April 2012
Standard Folio Proportional Hazards-Exponential |
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...
the help files... | |
the theory textbook... | |
related article(s)... | |
use example(s)... |