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| '''Weibull++ Non-Parametric LDA Plot Example'''
| | #REDIRECT[[Weibull++ Non-Parametric LDA Plot Example]] |
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| 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.
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| Assume we have the following data.
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| {| | border="1" class="wikitable" style="margin: 1em auto 1em auto"
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| | align="center" style="background:#f0f0f0;"|'''Number in State'''
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| | align="center" style="background:#f0f0f0;"|'''State F or S'''
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| | align="center" style="background:#f0f0f0;"|'''State End Time'''
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| |-
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| | 3||F||9
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| |-
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| | 1||S||9
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| |-
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| | 1||F||11
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| |-
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| | 1||S||12
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| |-
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| | 1||F||13
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| |-
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| | 1||S||13
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| |-
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| | 1||S||15
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| |-
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| | 1||F||17
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| |-
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| | 1||F||21
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| |-
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| | 1||S||22
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| |-
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| | 1||S||24
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| |-
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| | 1||S||26
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| |-
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| | 1||F||28
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| |-
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| | 1||F||30
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| |-
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| | 1||S||32
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| |-
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| | 2||S||35
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| |-
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| | 1||S||39
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| |-
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| | 1||S||41
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| |}
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| Please analyze the above data using Kaplan-Meier method in Weibull++.
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| '''Solution'''
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| '''Step 1:''' Create a Non-Parametric Specialized Folio.
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| [[Image: Select Non Parametric LDA.png|thumb|center|400px]]
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| '''Step 2:''' Enter the data as given in below Figure:
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| [[Image: Kaplan Meier Method Data.png|thumb|center|400px]]
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| 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.
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| '''Step 3:''' Plot the result.
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| [[Image: Kaplan Meier Method Plot.png|thumb|center|400px]]
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| 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.
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| '''Step 4:''' The results also can be viewed by clicking '''Non-Parametric Results''':
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| [[Image: Kaplan Meier View Results.png|thumb|center|400px]]
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| [[Image: Kaplan Meier Summary Results.png|thumb|center|400px]]
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