Template:Logistic distribution - Revision history

Lisa Hacker: Redirected page to The Logistic Distribution

2012-08-03T08:57:36Z

Redirected page to The Logistic Distribution

← Older revision		Revision as of 08:57, 3 August 2012
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	~~{{logistic distribution introduction}}~~		#REDIRECT [[The_Logistic_Distribution]]

	~~{{logistic probability density function}}~~

	~~{{logistic mean median and mode}}~~

	~~{{logistic standard deviation}}~~

	~~{{logistic reliability function}}~~

	~~{{logistic conditional reliability function}}~~

	~~{{logistic reliable life}}~~

	~~{{logistic failure rate function}}~~

	~~{{characteristics of the logistic distribution}}~~

	~~{{Weibull++ Notes on Negative Time Values (Logistic)}}~~

	~~{{logistic probability paper}}~~

	~~{{logistic confidence bounds}}~~

	~~==General Example==~~
	~~'''Example 1:'''~~
	~~{{Example: Logistic distribution example}}~~

Harry Guo at 22:51, 14 February 2012

2012-02-14T22:51:31Z

← Older revision		Revision as of 22:51, 14 February 2012
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	{{logistic mean median and mode}}		{{logistic mean median and mode}}


	{{logistic standard deviation}}		{{logistic standard deviation}}

	{{logistic reliability function}}		{{logistic reliability function}}


	{{logistic conditional reliability function}}		{{logistic conditional reliability function}}
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	{{characteristics of the logistic distribution}}		{{characteristics of the logistic distribution}}

	~~'''~~Weibull++ Notes on Negative Time Values~~'''~~		{{Weibull++ Notes on Negative Time Values (Logistic)}}

	One of the disadvantages of using the logistic distribution for reliability calculations is the fact that the logistic distribution starts at negative infinity. This can result in negative values for some of the results. Negative values for time are not accepted in most of the components of Weibull++, nor are they implemented. Certain components of the application reserve negative values for suspensions, or will not return negative results. For example, the Quick Calculation Pad will return a null value (zero) if the result is negative. Only the Free-Form (Probit) data sheet can accept negative values for the random variable (~~x-axis values~~).

	{{logistic probability paper}}		{{logistic probability paper}}

Harry Guo at 22:50, 14 February 2012

2012-02-14T22:50:40Z

← Older revision		Revision as of 22:50, 14 February 2012
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	{{logistic confidence bounds}}		{{logistic confidence bounds}}

			==General Example==
			'''Example 1:'''
			{{Example: Logistic distribution example}}

Harry Guo: /* Weibull++ Notes on Negative Time Values */

2012-02-14T22:44:45Z

Weibull++ Notes on Negative Time Values

← Older revision		Revision as of 22:44, 14 February 2012
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	{{characteristics of the logistic distribution}}		{{characteristics of the logistic distribution}}

	~~====~~Weibull++ Notes on Negative Time Values~~====~~		'''Weibull++ Notes on Negative Time Values'''

	One of the disadvantages of using the logistic distribution for reliability calculations is the fact that the logistic distribution starts at negative infinity. This can result in negative values for some of the results. Negative values for time are not accepted in most of the components of Weibull++, nor are they implemented. Certain components of the application reserve negative values for suspensions, or will not return negative results. For example, the Quick Calculation Pad will return a null value (zero) if the result is negative. Only the Free-Form (Probit) data sheet can accept negative values for the random variable (x-axis values).		One of the disadvantages of using the logistic distribution for reliability calculations is the fact that the logistic distribution starts at negative infinity. This can result in negative values for some of the results. Negative values for time are not accepted in most of the components of Weibull++, nor are they implemented. Certain components of the application reserve negative values for suspensions, or will not return negative results. For example, the Quick Calculation Pad will return a null value (zero) if the result is negative. Only the Free-Form (Probit) data sheet can accept negative values for the random variable (x-axis values).

Harry Guo at 22:36, 14 February 2012

2012-02-14T22:36:17Z

← Older revision		Revision as of 22:36, 14 February 2012
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	~~===The Logistic Distribution===~~		{{logistic distribution introduction}}
	~~The~~ logistic distribution has been used for growth models, and is used in a certain type of regression known as the logistic regression. It has also applications in modeling life data. The shape of the logistic distribution and the normal distribution are very similar [27]. There are some who argue that the logistic distribution is inappropriate for modeling lifetime data because the left-hand limit of the distribution extends to negative infinity. This could conceivably result in modeling negative times-to-failure. However, provided that the distribution in question has a relatively high mean and a relatively small location parameter, the issue of negative failure times should not present itself as a problem.
	{{logistic probability density function}}		{{logistic probability density function}}

Nicolette Young: /* Confidence Bounds */

2012-01-04T21:59:37Z

Confidence Bounds

Show changes

Nicolette Young: /* Probability Paper */

2012-01-04T21:58:13Z

Probability Paper

@@ Line 22: / Line 22: @@
 One of the disadvantages of using the logistic distribution for reliability calculations is the fact that the logistic distribution starts at negative infinity. This can result in negative values for some of the results. Negative values for time are not accepted in most of the components of Weibull++, nor are they implemented. Certain components of the application reserve negative values for suspensions, or will not return negative results. For example, the Quick Calculation Pad will return a null value (zero) if the result is negative. Only the Free-Form (Probit) data sheet can accept negative values for the random variable (x-axis values).
-====Probability Paper====
+{{logistic probability paper}}
 ====Confidence Bounds====

Nicolette Young: /* Characteristics of the Logistic Distribution */

2012-01-04T21:57:25Z

Characteristics of the Logistic Distribution

@@ Line 17: / Line 17: @@
 {{logistic failure rate function}}
-====Characteristics of the Logistic Distribution====
+{{characteristics of the logistic distribution}}
 ====Weibull++ Notes on Negative Time Values====

Nicolette Young: /* The Logistic Failure Rate Function */

2012-01-04T21:56:49Z

The Logistic Failure Rate Function

← Older revision		Revision as of 21:56, 4 January 2012
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	{{logistic reliable life}}		{{logistic reliable life}}

	~~====The Logistic Failure Rate Function====~~		{{logistic failure rate function}}
	~~The~~ logistic failure rate function ~~is given by:~~

	~~::<math>\lambda (T)=\frac{{{e}^{z}}}{\sigma (1+{{e}^{z}~~})}~~</math>~~


	====Characteristics of the Logistic Distribution====		====Characteristics of the Logistic Distribution====

Nicolette Young: /* The Logistic Reliable Life */

2012-01-04T21:56:16Z

The Logistic Reliable Life

← Older revision		Revision as of 21:56, 4 January 2012
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	{{logistic conditional reliability function}}		{{logistic conditional reliability function}}

	~~====The Logistic Reliable Life====~~		{{logistic reliable life}}
	~~The~~ logistic reliable life ~~is given by:~~


	~~::<math>{{T}_{R~~}}~~=\mu +\sigma [\ln (1-R)-\ln (R)]</math>~~

	====The Logistic Failure Rate Function====		====The Logistic Failure Rate Function====