Weibull++ Standard Folio Data Logistic - Revision history

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

2015-07-10T21:08:04Z

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

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Lisa Hacker: Replaced content with '{{Template:WebNotes/Weibull++Standard_Folio_Data_Logistic}}'

2013-05-19T23:52:24Z

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	The logistic distribution has been used for growth models, and it is used in a certain type of regression known as the logistic regression. It also has applications in modeling life data. The shape of the logistic distribution and the normal distribution are very similar. Some 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 be a problem.
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Richard House at 17:05, 21 February 2013

2013-02-21T17:05:34Z

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Chris Kahn at 01:13, 20 August 2012

2012-08-20T01:13:00Z

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Chris Kahn at 04:15, 3 August 2012

2012-08-03T04:15:19Z

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Chris Kahn at 09:28, 26 July 2012

2012-07-26T09:28:23Z

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Chris Kahn at 18:56, 24 April 2012

2012-04-24T18:56:30Z

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	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. ~~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.		The logistic distribution has been used for growth models, and it is used in a certain type of regression known as the logistic regression. It also has applications in modeling life data. The shape of the logistic distribution and the normal distribution are very similar. Some 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 be a problem.
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Athanasios Gerokostopoulos at 23:20, 13 April 2012

2012-04-13T23:20:36Z

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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 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. 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.
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Chuck Smith at 23:45, 21 March 2012

2012-03-21T23:45:53Z

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	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~~.		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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Nicolette Young at 17:28, 6 March 2012

2012-03-06T17:28:42Z

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