Template:Weibull Non-Parametric Recurrent Events Data Analysis - Revision history

Kate Racaza: Redirected page to Recurrent Event Data Analysis

2012-06-29T07:48:14Z

Redirected page to Recurrent Event Data Analysis

← Older revision		Revision as of 07:48, 29 June 2012
Line 1:		Line 1:
	~~== Non-Parametric~~ Recurrent Event~~ ~~Data Analysis ==		#REDIRECT [[Recurrent Event Data Analysis]]

	Non-parametric RDA provides a non-parametric graphical estimate of the mean cumulative number or cost of recurrence per unit versus age. In the reliability field, the Mean Cumulative Function (MCF) can be used to: [[Appendix: Weibull References\|[31]]]

	~~:*Evaluate whether the population repair (or cost) rate increases or decreases with age (this is useful for product retirement and burn-in decisions).~~
	~~:*Estimate the average number or cost of repairs per unit during warranty or some time period.~~
	~~:*Compare two or more sets of data from different designs, production periods, maintenance policies, environments, operating conditions, etc.~~
	~~:*Predict future numbers and costs of repairs, such as the expected number of failures next month, quarter, or year.~~
	~~:*Reveal unexpected information and insight.~~

	~~{{mean cumulative function for recurrence data}}~~

	~~{{confidence limits for the MCF}}~~

Kate Racaza: /* Non-Parameteric Recurrent Event Data Analysis */

2012-03-16T23:46:28Z

Non-Parameteric Recurrent Event Data Analysis

← Older revision		Revision as of 23:46, 16 March 2012
Line 1:		Line 1:
	== Non-~~Parameteric~~ Recurrent Event Data Analysis ==		== Non-Parametric Recurrent Event Data Analysis ==

	Non-parametric RDA provides a non-parametric graphical estimate of the mean cumulative number or cost of recurrence per unit versus age. In the reliability field, the Mean Cumulative Function (MCF) can be used to: [[Appendix: Weibull References\|[31]]]		Non-parametric RDA provides a non-parametric graphical estimate of the mean cumulative number or cost of recurrence per unit versus age. In the reliability field, the Mean Cumulative Function (MCF) can be used to: [[Appendix: Weibull References\|[31]]]

Kate Racaza at 17:11, 8 March 2012

2012-03-08T17:11:37Z

← Older revision		Revision as of 17:11, 8 March 2012
Line 1:		Line 1:
	== Non-Parameteric Recurrent Event Data Analysis ==		== Non-Parameteric Recurrent Event Data Analysis ==

	Non-parametric ~~recurrent event data analysis~~ provides a non-parametric graphical estimate of the mean cumulative number or cost of recurrence per unit versus age. In the reliability field, the Mean Cumulative Function (MCF) can be used to: [[Appendix: Weibull References\|[31]]]		Non-parametric RDA provides a non-parametric graphical estimate of the mean cumulative number or cost of recurrence per unit versus age. In the reliability field, the Mean Cumulative Function (MCF) can be used to: [[Appendix: Weibull References\|[31]]]

	:*Evaluate whether the population repair (or cost) rate increases or decreases with age (this is useful for product retirement and burn-in decisions).		:*Evaluate whether the population repair (or cost) rate increases or decreases with age (this is useful for product retirement and burn-in decisions).

Kate Racaza at 16:24, 8 March 2012

2012-03-08T16:24:57Z

← Older revision		Revision as of 16:24, 8 March 2012
Line 1:		Line 1:
	==Non-Parameteric ~~Recurrence~~ Data Analysis==		== Non-Parameteric Recurrent Event Data Analysis ==
	Non-parametric recurrence data analysis provides a non-parametric graphical estimate of the mean cumulative number or cost of recurrence per unit versus age. In the reliability field, the Mean Cumulative Function (MCF) can be used to: [[Appendix: Weibull References\|[31]]]

	~~:* Evaluate whether the population repair (or cost) rate increases or decreases with age (this is useful for product retirement and burn~~-~~in decisions).~~		Non-parametric recurrent event data analysis provides a non-parametric graphical estimate of the mean cumulative number or cost of recurrence per unit versus age. In the reliability field, the Mean Cumulative Function (MCF) can be used to: [[Appendix: Weibull References\|[31]]]
	~~:* Estimate~~ the ~~average~~ number or cost of ~~repairs~~ per unit ~~during warranty or some time period~~.
	~~:* Compare two or more sets of data from different designs~~, ~~production periods, maintenance policies, environments, operating conditions, etc.~~
	:* Predict future numbers and costs of repairs, such as the expected number of failures next month, quarter, or year.
	:* Reveal unexpected information and insight.

	{{mean cumulative function for recurrence data}}		:*Evaluate whether the population repair (or cost) rate increases or decreases with age (this is useful for product retirement and burn-in decisions).
			:*Estimate the average number or cost of repairs per unit during warranty or some time period.
			:*Compare two or more sets of data from different designs, production periods, maintenance policies, environments, operating conditions, etc.
			:*Predict future numbers and costs of repairs, such as the expected number of failures next month, quarter, or year.
			:*Reveal unexpected information and insight.

			{{mean cumulative function for recurrence data}}

	{{confidence limits for the MCF}}		{{confidence limits for the MCF}}

Kate Racaza: /* Non-Parameteric Recurrence Data Analysis */

2012-03-08T00:17:45Z

Non-Parameteric Recurrence Data Analysis

← Older revision		Revision as of 00:17, 8 March 2012
Line 5:		Line 5:
	:* Estimate the average number or cost of repairs per unit during warranty or some time period.		:* Estimate the average number or cost of repairs per unit during warranty or some time period.
	:* Compare two or more sets of data from different designs, production periods, maintenance policies, environments, operating conditions, etc.		:* Compare two or more sets of data from different designs, production periods, maintenance policies, environments, operating conditions, etc.
	:* Predict future numbers and costs of repairs, such as, the next month, quarter, or year.		:* Predict future numbers and costs of repairs, such as the expected number of failures next month, quarter, or year.
	:* Reveal unexpected information and insight.		:* Reveal unexpected information and insight.

Kate Racaza: /* Non-Parameteric Recurrence Data Analysis */

2012-03-08T00:15:51Z

Non-Parameteric Recurrence Data Analysis

← Older revision		Revision as of 00:15, 8 March 2012
Line 1:		Line 1:
	==Non-Parameteric Recurrence Data Analysis==		==Non-Parameteric Recurrence Data Analysis==
	Non-parametric recurrence data analysis provides a ~~nonparametric~~ graphical estimate of the mean cumulative number or cost of recurrence per unit versus age. In the reliability field, the Mean Cumulative Function (MCF) can be used to: [[Appendix: Weibull References\|[31]]]		Non-parametric recurrence data analysis provides a non-parametric graphical estimate of the mean cumulative number or cost of recurrence per unit versus age. In the reliability field, the Mean Cumulative Function (MCF) can be used to: [[Appendix: Weibull References\|[31]]]

	:* Evaluate whether the population repair (or cost) rate increases or decreases with age (this is useful for product retirement and burn-in decisions).		:* Evaluate whether the population repair (or cost) rate increases or decreases with age (this is useful for product retirement and burn-in decisions).

Harry Guo: /* Non-Parameteric Recurrence Data Analysis */

2012-02-22T17:57:31Z

Non-Parameteric Recurrence Data Analysis

← Older revision		Revision as of 17:57, 22 February 2012
Line 1:		Line 1:
	==Non-Parameteric Recurrence Data Analysis==		==Non-Parameteric Recurrence Data Analysis==
	Non-parametric recurrence data analysis provides a nonparametric graphical estimate of the mean cumulative number or cost of recurrence per unit versus age. In the reliability field, the Mean Cumulative Function (MCF) can be used to: [31]		Non-parametric recurrence data analysis provides a nonparametric graphical estimate of the mean cumulative number or cost of recurrence per unit versus age. In the reliability field, the Mean Cumulative Function (MCF) can be used to: [[Appendix: Weibull References\|[31]]]

	:• Evaluate whether the population repair (or cost) rate increases or decreases with age (this is useful for product retirement and burn-in decisions).		:* Evaluate whether the population repair (or cost) rate increases or decreases with age (this is useful for product retirement and burn-in decisions).
	:• Estimate the average number or cost of repairs per unit during warranty or some time period.		:* Estimate the average number or cost of repairs per unit during warranty or some time period.
	:• Compare two or more sets of data from different designs, production periods, maintenance policies, environments, operating conditions, etc.		:* Compare two or more sets of data from different designs, production periods, maintenance policies, environments, operating conditions, etc.
	:• Predict future numbers and costs of repairs, such as, the next month, quarter, or year.		:* Predict future numbers and costs of repairs, such as, the next month, quarter, or year.
	:• Reveal unexpected information and insight.		:* Reveal unexpected information and insight.

	{{mean cumulative function for recurrence data}}		{{mean cumulative function for recurrence data}}

	{{confidence limits for the MCF}}		{{confidence limits for the MCF}}

Harry Guo: /* Introduction */

2012-02-22T17:07:58Z

Introduction

← Older revision		Revision as of 17:07, 22 February 2012
Line 1:		Line 1:
	==Non-Parameteric Recurrence Data Analysis==		==Non-Parameteric Recurrence Data Analysis==
	~~===Introduction===~~
	Non-parametric recurrence data analysis provides a nonparametric graphical estimate of the mean cumulative number or cost of recurrence per unit versus age. In the reliability field, the Mean Cumulative Function (MCF) can be used to: [31]		Non-parametric recurrence data analysis provides a nonparametric graphical estimate of the mean cumulative number or cost of recurrence per unit versus age. In the reliability field, the Mean Cumulative Function (MCF) can be used to: [31]

Harry Guo: Created page with '==Non-Parameteric Recurrence Data Analysis== ===Introduction=== Non-parametric recurrence data analysis provides a nonparametric graphical estimate of the mean cumulative number …'

2012-02-14T00:39:53Z

Created page with '==Non-Parameteric Recurrence Data Analysis== ===Introduction=== Non-parametric recurrence data analysis provides a nonparametric graphical estimate of the mean cumulative number …'

New page

==Non-Parameteric Recurrence Data Analysis==
===Introduction===
Non-parametric recurrence data analysis provides a nonparametric graphical estimate of the mean cumulative number or cost of recurrence per unit versus age. In the reliability field, the Mean Cumulative Function (MCF) can be used to: [31]

:• Evaluate whether the population repair (or cost) rate increases or decreases with age (this is useful for product retirement and burn-in decisions).
:• Estimate the average number or cost of repairs per unit during warranty or some time period.
:• Compare two or more sets of data from different designs, production periods, maintenance policies, environments, operating conditions, etc.
:• Predict future numbers and costs of repairs, such as, the next month, quarter, or year.
:• Reveal unexpected information and insight.

{{mean cumulative function for recurrence data}}

{{confidence limits for the MCF}}