Weibull++ Standard Folio Data Generalized Gamma - Revision history

Richard House: Redirected page to Template:WebNotes/Weibull++Standard Folio Data Generalized Gamma

2015-07-10T21:06:03Z

Redirected page to Template:WebNotes/Weibull++Standard Folio Data Generalized Gamma

← Older revision		Revision as of 21:06, 10 July 2015
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Lisa Hacker: Replaced content with '{{Template:WebNotes/Weibull++Standard_Folio_Data_Generalized_Gamma}}'

2013-05-19T23:49:28Z

Replaced content with '{{Template:WebNotes/Weibull++Standard_Folio_Data_Generalized_Gamma}}'

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	{{Template:~~NoSkin}}~~		{{Template:WebNotes/Weibull++Standard_Folio_Data_Generalized_Gamma}}
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	~~{\| align="center" class="FCK__ShowTableBorders" border="0" cellspacing="1" cellpadding="1"~~
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	~~The generalized gamma distribution has the ability to mimic the attributes of other distributions such as the~~ Weibull or lognormal, based on the values of the distribution's parameters. While the generalized gamma distribution is not often used to model life data by itself (mostly due to its mathematical complexity and its requirement of large sample sizes (>30) for convergence), its ability to behave like other more commonly-used life distributions is sometimes used to determine which of those life distributions should be used to model a particular set of data.
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	~~\| [http://help.synthesis8.com/weibull_alta8/index.htm#weibull_standard_folios.htm the help files...]~~
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	~~\| [http://www.reliawiki.org/index.php/The_Generalized_Gamma_Distribution the theory textbook...]~~
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	~~\| [http://www.weibull.com/hotwire/issue15/hottopics15.htm related article(s)...]~~
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	~~\| [http://www.reliawiki.org/index.php/Generalized_Gamma_Distribution_Example application example(s)...]~~
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Richard House at 17:04, 21 February 2013

2013-02-21T17:04:31Z

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Chris Kahn at 00:51, 20 August 2012

2012-08-20T00:51:46Z

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	\| [[Image:Bulbblue.png]]		\| [[Image:Bulbblue.png]]
	\| [http://www.reliawiki.org/index.php/~~Example:_Generalized_Gamma_Distribution_Example~~ application example(s)...]		\| [http://www.reliawiki.org/index.php/Generalized_Gamma_Distribution_Example application example(s)...]
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Chris Kahn at 04:14, 3 August 2012

2012-08-03T04:14:10Z

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	\| [http://reliawiki.org/index.php/The_Generalized_Gamma_Distribution the theory textbook...]		\| [http://www.reliawiki.org/index.php/The_Generalized_Gamma_Distribution the theory textbook...]
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Chris Kahn at 09:22, 26 July 2012

2012-07-26T09:22:39Z

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	\| [[Image:Bulbblue.png]]		\| [[Image:Bulbblue.png]]
	\| [http://www.reliawiki.com/index.php/Example:_Generalized_Gamma_Distribution_Example ~~use~~ example(s)...]		\| [http://www.reliawiki.com/index.php/Example:_Generalized_Gamma_Distribution_Example application example(s)...]
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Athanasios Gerokostopoulos at 23:14, 13 April 2012

2012-04-13T23:14:58Z

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	The ~~objective of life data analysis is to fit a statistical~~ distribution to ~~failure time data in order to understand~~ the ~~reliability performance~~ of ~~a product over time~~ or ~~to make projections about future behavior~~. ~~From~~ the ~~analysis~~, ~~you can estimate several~~ life ~~characteristics, such as probability~~ of ~~failure, reliability, mean~~ life ~~or failure rate~~.		The generalized gamma distribution has the ability to mimic the attributes of other distributions such as the Weibull or lognormal, based on the values of the distribution's parameters. While the generalized gamma distribution is not often used to model life data by itself (mostly due to its mathematical complexity and its requirement of large sample sizes (>30) for convergence), its ability to behave like other more commonly-used life distributions is sometimes used to determine which of those life distributions should be used to model a particular set of data.
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	\| [[Image:Book blue.png]]		\| [[Image:Book blue.png]]
	\| [http://reliawiki.~~com~~/index.php/~~Template:Generalized_gamma_distribution~~ the theory textbook...]		\| [http://reliawiki.org/index.php/The_Generalized_Gamma_Distribution the theory textbook...]
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Chuck Smith at 23:41, 21 March 2012

2012-03-21T23:41:19Z

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	The objective of life data analysis is to fit a statistical distribution to failure time data in order to understand the reliability performance of a product over time or to make projections about future behavior. From the analysis, you can estimate several life characteristics, such as probability of failure, reliability, mean life or failure rate.		The objective of life data analysis is to fit a statistical distribution to failure time data in order to understand the reliability performance of a product over time or to make projections about future behavior. From the analysis, you can estimate several life characteristics, such as probability of failure, reliability, mean life or failure rate.
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Chuck Smith at 23:40, 21 March 2012

2012-03-21T23:40:58Z

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	The objective of life data analysis is to fit a statistical distribution to failure time data in order to understand the reliability performance of a product over time or to make projections about future behavior. From the analysis, you can estimate several life characteristics, such as probability of failure, reliability, mean life or failure rate.		The objective of life data analysis is to fit a statistical distribution to failure time data in order to understand the reliability performance of a product over time or to make projections about future behavior. From the analysis, you can estimate several life characteristics, such as probability of failure, reliability, mean life or failure rate.
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Chuck Smith at 23:40, 21 March 2012

2012-03-21T23:40:09Z

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	~~While not as frequently used for modeling~~ life data ~~as the previous distributions, the generalized gamma~~ distribution ~~does have the ability~~ to ~~mimic~~ the ~~attributes~~ of ~~other distributions such as the Weibull~~ or ~~lognormal, based on the values of the distribution's parameters~~. ~~While~~ the ~~generalized gamma distribution is not often used to model~~ life ~~data by itself~~ , ~~its ability to behave like other more commonly-used life distributions is sometimes used to determine which~~ of ~~those~~ life ~~distributions should be used to model a particular set of data~~.		The objective of life data analysis is to fit a statistical distribution to failure time data in order to understand the reliability performance of a product over time or to make projections about future behavior. From the analysis, you can estimate several life characteristics, such as probability of failure, reliability, mean life or failure rate.
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