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boheekang
Level I

Difference between regression and separate location model at parametric survival fit

Hi

Would you let me know what's difference between regression and separate location model at parametric survival fit?

I know that separate location model uses same shape parameter.

But regression at manual is parameters(shape, location) are depended on X. I do not understand this.

How shape and location parameters of Weibull distribution are taken?

Do this model use different shape parameter?

 

Best Regards,

 

1 REPLY 1
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Re: Difference between regression and separate location model at parametric survival fit

I am not sure what you mean by "difference between regression and separate location model at parametric survival fit." I will use an example from the Reliability sample data folder, Motorette. I fit a life model using Temp as the factor for both the location and the scale parameter. All terms are significant.

 

Screen Shot 2020-03-16 at 5.28.07 AM.png

So the location and the scale parameter varies with temperature. Examine the Parameter Estimates in particular.

 

Screen Shot 2020-03-16 at 5.38.40 AM.png

 

How are these parameter estimates used? What does the model look like? I saved the prediction formulas for the probability and the 0.1 quantile. Here they are:

 

Screen Shot 2020-03-16 at 5.36.01 AM.png

(Predicted Probability)

 

15.965159157 - 0.043882405* Temp is the location parameter. 2.039358492 - 0.008725175*Temp is the scale parameter.

 

Screen Shot 2020-03-16 at 5.36.46 AM.png

(Predicted 0.1 Quantile)

 

The interpretation for the Weibull parameters based on the linear predictors above is the same for the second formula.

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