Template:Weibull++ Non-Parametric LDA Plot Example - Revision history

Kate Racaza: Redirected page to Weibull++ Non-Parametric LDA Plot Example

2012-08-16T06:18:29Z

Redirected page to Weibull++ Non-Parametric LDA Plot Example

← Older revision		Revision as of 06:18, 16 August 2012
Line 1:		Line 1:
	~~'''~~Weibull++ Non-Parametric LDA Plot Example~~'''~~		#REDIRECT[[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.~~

	~~{\| \| border="1" class="wikitable" style="margin: 1em auto 1em auto"~~
	~~\| 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~~

	\|}


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

	~~'''Solution'''~~

	~~'''Step 1:''' Create a Non-Parametric Specialized Folio.~~
	~~[[Image: Select Non Parametric LDA.png\|thumb\|center\|400px]]~~

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

	~~[[Image: Kaplan Meier Method Data.png\|thumb\|center\|400px]]~~

	~~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.~~
	~~[[Image: Kaplan Meier Method Plot.png\|thumb\|center\|400px]]~~

	~~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''':~~

	~~[[Image: Kaplan Meier View Results.png\|thumb\|center\|400px]]~~

	~~[[Image: Kaplan Meier Summary Results.png\|thumb\|center\|400px~~]]

Harry Guo at 17:52, 7 March 2012

2012-03-07T17:52:01Z

← Older revision		Revision as of 17:52, 7 March 2012
Line 1:		Line 1:
	'''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.

Harry Guo at 17:50, 7 March 2012

2012-03-07T17:50:20Z

← Older revision		Revision as of 17:50, 7 March 2012
Line 47:		Line 47:

	\|}		\|}


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

			'''Solution'''

			'''Step 1:''' Create a Non-Parametric Specialized Folio.
			[[Image: Select Non Parametric LDA.png\|thumb\|center\|400px]]

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

			[[Image: Kaplan Meier Method Data.png\|thumb\|center\|400px]]

			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.
			[[Image: Kaplan Meier Method Plot.png\|thumb\|center\|400px]]

			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''':

			[[Image: Kaplan Meier View Results.png\|thumb\|center\|400px]]

			[[Image: Kaplan Meier Summary Results.png\|thumb\|center\|400px]]

Harry Guo: Created page with ''''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 meth…'

2012-03-07T17:46:29Z

Created page with ''''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 meth…'

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'''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.

{| | border="1" class="wikitable" style="margin: 1em auto 1em auto"
| 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

|}