Weibull++ Standard Folio Data Loglogistic - Revision history

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

2015-07-10T21:08:59Z

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

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

2013-05-19T23:53:59Z

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	As indicated by the name, the loglogistic distribution has certain similarities to the logistic distribution. A random variable is loglogistically distributed if the logarithm of the random variable is logistically distributed. Because of this, there are many mathematical similarities between the two distributions. For example, the mathematical reasoning for the construction of the probability plotting scales is very similar for these two distributions.
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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_Loglogistic_Distribution the theory textbook...]~~
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	~~\| [http://www.weibull.com/hotwire/issue56/relbasics56.htm related article(s)...]~~
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	~~\| [http://www.reliawiki.org/index.php/Loglogistic_Distribution_Example application example(s)...]~~
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Richard House at 17:06, 21 February 2013

2013-02-21T17:06:26Z

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Chris Kahn at 01:14, 20 August 2012

2012-08-20T01:14:55Z

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Chris Kahn at 04:15, 3 August 2012

2012-08-03T04:15:42Z

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Chris Kahn at 09:29, 26 July 2012

2012-07-26T09:29:19Z

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Chris Kahn at 19:01, 24 April 2012

2012-04-24T19:01:49Z

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	As ~~may be~~ indicated by the name, the loglogistic distribution has certain similarities to the logistic distribution. A random variable is loglogistically distributed if the logarithm of the random variable is logistically distributed. Because of this, there are many mathematical similarities between the two distributions. For example, the mathematical reasoning for the construction of the probability plotting scales is very similar for these two distributions.		As indicated by the name, the loglogistic distribution has certain similarities to the logistic distribution. A random variable is loglogistically distributed if the logarithm of the random variable is logistically distributed. Because of this, there are many mathematical similarities between the two distributions. For example, the mathematical reasoning for the construction of the probability plotting scales is very similar for these two distributions.
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Athanasios Gerokostopoulos at 23:36, 13 April 2012

2012-04-13T23:36:40Z

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Athanasios Gerokostopoulos at 23:36, 13 April 2012

2012-04-13T23:36:13Z

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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~~.		As may be indicated by the name, the loglogistic distribution has certain similarities to the logistic distribution. A random variable is loglogistically distributed if the logarithm of the random variable is logistically distributed. Because of this, there are many mathematical similarities between the two distributions. For example, the mathematical reasoning for the construction of the probability plotting scales is very similar for these two distributions.
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Chuck Smith at 23:48, 21 March 2012

2012-03-21T23:48:57Z

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	~~As may be indicated by the name, the loglogistic~~ distribution ~~has certain similarities~~ to the ~~logistic distribution~~. ~~A random variable is loglogistically distributed if~~ the ~~logarithm~~ of ~~the random variable is logistically distributed. Because of this~~, ~~there are many mathematical similarities between the two distributions [27]. For example~~, ~~the mathematical reasoning for the construction of the probability plotting scales is very similar for these two distributions~~.		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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