View source for Weibull++ Non-Parametric LDA Plot Example

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This example demonstrates how to use the Weibull++ non-parametric life data analysis (LDA) folio. 

Assume we have the following data.


{| border="1" align="center" style="border-collapse: collapse;" cellpadding="5" cellspacing="5"
| align="center" style="background:#f0f0f0;"|'''Number in State'''
| align="center" style="background:#f0f0f0;"|'''State F or S'''
| align="center" style="background:#f0f0f0;"|'''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

|}


Analyze the data set using the Kaplan-Meier method.


'''Solution'''

Enter the data in a non-parametric LDA folio. On the folio's control panel, enter a confidence level, as shown next.


[[Image: Kaplan Meier Method Data.png|center|550px]]


The following plot shows the results, where the reliability at each failure time is calculated and plotted, along with the confidence bounds. 


[[Image: Kaplan Meier Method Plot.png|center|550px]]


Because the analysis uses a non-parametric method, only the reliability at the observed failure times can be calculated. Non-parametric methods cannot be used for extrapolation and interpolation. 

The following report shows the estimated reliability values and the associated confidence bounds.


[[Image: Kaplan Meier Summary Results.png|center|550px]]