Template:Nonparametric test design - Revision history

Kate Racaza: Redirected page to Reliability Test Design

2012-06-29T08:03:57Z

Redirected page to Reliability Test Design

← Older revision		Revision as of 08:03, 29 June 2012
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	~~===Non-Parametric~~ Test Design~~===~~		#REDIRECT [[Reliability Test Design]]
	The binomial equation can be used for nonparametric demonstration test design. One must merely assume values for three of the inputs of <math>CL</math>, <math>{{R}_{TEST}}</math>, <math>n</math>, and <math>f</math>, and solve for the fourth. Note that there is no time value associated with this methodology, so one must assume that the value of <math>{{R}_{TEST}}</math> is associated with the amount of time for which the units were tested.


	~~'''Example 1:'''~~
	~~{{Example: Weibull Distribution Example-Demonstrate Reliability}}~~


	~~'''Example 2:'''~~
	~~{{Example: Weibull Distribution Example-Demonstrate MTTF}}~~

Lisa Hacker: /* Non-Parametric Test Design */

2012-03-29T23:38:18Z

Non-Parametric Test Design

← Older revision		Revision as of 23:38, 29 March 2012
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	'''Example 2:'''		'''Example 2:'''
	{{Example: Weibull Distribution Example-~~Demostrate~~ MTTF}}		{{Example: Weibull Distribution Example-Demonstrate MTTF}}

Lisa Hacker: /* Non-Parametric Test Design */

2012-03-29T23:37:03Z

Non-Parametric Test Design

← Older revision		Revision as of 23:37, 29 March 2012
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	'''Example 1:'''		'''Example 1:'''
	{{Example: Weibull Distribution Example-~~Demostrate~~ Reliability}}		{{Example: Weibull Distribution Example-Demonstrate Reliability}}


	'''Example 2:'''		'''Example 2:'''
	{{Example: Weibull Distribution Example-Demostrate MTTF}}		{{Example: Weibull Distribution Example-Demostrate MTTF}}

Chris Kahn: /* Non-Parametric Test Design */

2012-03-09T00:35:44Z

Non-Parametric Test Design

← Older revision		Revision as of 00:35, 9 March 2012
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	===Non-Parametric Test Design===		===Non-Parametric Test Design===
	The binomial equation can be used for nonparametric demonstration test design. One must merely assume values for three of the inputs of <math>CL</math> , <math>{{R}_{TEST}}</math> , <math>n</math> , and <math>f</math> , and solve for the fourth. Note that there is no time value associated with this methodology, so one must assume that the value of <math>{{R}_{TEST}}</math> is associated with the amount of time for which the units were tested.		The binomial equation can be used for nonparametric demonstration test design. One must merely assume values for three of the inputs of <math>CL</math>, <math>{{R}_{TEST}}</math>, <math>n</math>, and <math>f</math>, and solve for the fourth. Note that there is no time value associated with this methodology, so one must assume that the value of <math>{{R}_{TEST}}</math> is associated with the amount of time for which the units were tested.

Chris Kahn: /* Nonparametric Test Design */

2012-03-09T00:32:27Z

Nonparametric Test Design

← Older revision		Revision as of 00:32, 9 March 2012
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	===~~Nonparametric~~ Test Design===		===Non-Parametric Test Design===
	The binomial equation can be used for nonparametric demonstration test design. One must merely assume values for three of the inputs of <math>CL</math> , <math>{{R}_{TEST}}</math> , <math>n</math> , and <math>f</math> , and solve for the fourth. Note that there is no time value associated with this methodology, so one must assume that the value of <math>{{R}_{TEST}}</math> is associated with the amount of time for which the units were tested.		The binomial equation can be used for nonparametric demonstration test design. One must merely assume values for three of the inputs of <math>CL</math> , <math>{{R}_{TEST}}</math> , <math>n</math> , and <math>f</math> , and solve for the fourth. Note that there is no time value associated with this methodology, so one must assume that the value of <math>{{R}_{TEST}}</math> is associated with the amount of time for which the units were tested.

Harry Guo: /* Nonparametric Test Design */

2012-03-02T22:14:26Z

Nonparametric Test Design

← Older revision		Revision as of 22:14, 2 March 2012
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	===Nonparametric Test Design===		===Nonparametric Test Design===
	The binomial equation can be used for nonparametric demonstration test design. One must merely assume values for three of the inputs of <math>CL</math> , <math>{{R}_{TEST}}</math> , <math>n</math> , and <math>f</math> , and solve for the fourth. Note that there is no time value associated with this methodology, so one must assume that the value of <math>{{R}_{TEST}}</math> is associated with the amount of time for which the units were tested.		The binomial equation can be used for nonparametric demonstration test design. One must merely assume values for three of the inputs of <math>CL</math> , <math>{{R}_{TEST}}</math> , <math>n</math> , and <math>f</math> , and solve for the fourth. Note that there is no time value associated with this methodology, so one must assume that the value of <math>{{R}_{TEST}}</math> is associated with the amount of time for which the units were tested.


			'''Example 1:'''
			{{Example: Weibull Distribution Example-Demostrate Reliability}}


			'''Example 2:'''
			{{Example: Weibull Distribution Example-Demostrate MTTF}}

Harry Guo: /* Nonparametric Test Design */

2012-03-02T22:06:40Z

Nonparametric Test Design

← Older revision		Revision as of 22:06, 2 March 2012
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	===Nonparametric Test Design===		===Nonparametric Test Design===
	~~Eqn. (relcum)~~ can be used for nonparametric demonstration test design. One must merely assume values for three of the inputs of <math>CL</math> , <math>{{R}_{TEST}}</math> , <math>n</math> , and <math>f</math> , and solve for the fourth. Note that there is no time value associated with this methodology, so one must assume that the value of <math>{{R}_{TEST}}</math> is associated with the amount of time for which the units were tested.		The binomial equation can be used for nonparametric demonstration test design. One must merely assume values for three of the inputs of <math>CL</math> , <math>{{R}_{TEST}}</math> , <math>n</math> , and <math>f</math> , and solve for the fourth. Note that there is no time value associated with this methodology, so one must assume that the value of <math>{{R}_{TEST}}</math> is associated with the amount of time for which the units were tested.

Harry Guo: /* Nonparametric Test Design */

2012-02-22T23:00:59Z

Nonparametric Test Design

← Older revision		Revision as of 23:00, 22 February 2012
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	====Nonparametric Test Design====		===Nonparametric Test Design===
	Eqn. (relcum) can be used for nonparametric demonstration test design. One must merely assume values for three of the inputs of <math>CL</math> , <math>{{R}_{TEST}}</math> , <math>n</math> , and <math>f</math> , and solve for the fourth. Note that there is no time value associated with this methodology, so one must assume that the value of <math>{{R}_{TEST}}</math> is associated with the amount of time for which the units were tested.		Eqn. (relcum) can be used for nonparametric demonstration test design. One must merely assume values for three of the inputs of <math>CL</math> , <math>{{R}_{TEST}}</math> , <math>n</math> , and <math>f</math> , and solve for the fourth. Note that there is no time value associated with this methodology, so one must assume that the value of <math>{{R}_{TEST}}</math> is associated with the amount of time for which the units were tested.

Nicolette Young: Created page with '====Nonparametric Test Design==== Eqn. (relcum) can be used for nonparametric demonstration test design. One must merely assume values for three of the inputs of $CL$
2012-01-04T23:56:12Z

Created page with '====Nonparametric Test Design==== Eqn. (relcum) can be used for nonparametric demonstration test design. One must merely assume values for three of the inputs of <math>CL</math…'

New page
====Nonparametric Test Design====
Eqn. (relcum) can be used for nonparametric demonstration test design. One must merely assume values for three of the inputs of <math>CL</math> , <math>{{R}_{TEST}}</math> , <math>n</math> , and <math>f</math> , and solve for the fourth. Note that there is no time value associated with this methodology, so one must assume that the value of <math>{{R}_{TEST}}</math> is associated with the amount of time for which the units were tested.