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'''Weibull++ Non-Parametric LDA Plot Example'''
'''Weibull++ Non-Parametric LDA Plot Example'''


This example shows how to use Weibull++ to do non-parametric LDA analysis. Weibull++ has three different  non-parametric LDA method: Kaplan-Meier, Actuarial Standard, and Actuarial Simple. They are very similar.  
This example shows how to use Weibull++ to do non-parametric LDA analysis. Weibull++ has three different  non-parametric LDA method: '''Kaplan-Meier''', '''Actuarial Standard''', and '''Actuarial Simple'''. They are very similar.  


Assume we have the following data.
Assume we have the following data.

Revision as of 17:52, 7 March 2012

Weibull++ Non-Parametric LDA Plot Example

This example shows how to use Weibull++ to do non-parametric LDA analysis. Weibull++ has three different non-parametric LDA method: Kaplan-Meier, Actuarial Standard, and Actuarial Simple. They are very similar.

Assume we have the following data.

Number in State State F or S State End Time
3 F 9
1 S 9
1 F 11
1 S 12
1 F 13
1 S 13
1 S 15
1 F 17
1 F 21
1 S 22
1 S 24
1 S 26
1 F 28
1 F 30
1 S 32
2 S 35
1 S 39
1 S 41


Please analyze the above data using Kaplan-Meier method in Weibull++.

Solution

Step 1: Create a Non-Parametric Specialized Folio.

Select Non Parametric LDA.png

Step 2: Enter the data as given in below Figure:

Kaplan Meier Method Data.png

In the control panel, a confidence level can be entered. Reliability at each State End Time is calculated and plotted together with the confidence bounds.

Step 3: Plot the result.

Kaplan Meier Method Plot.png

Since the analysis is done by non-parametric method, only the reliability at the observed state time can be calculated. Non-parametric methods cannot be used for extrapolation and interpolation.

Step 4: The results also can be viewed by clicking Non-Parametric Results:

Kaplan Meier View Results.png
Kaplan Meier Summary Results.png