Template:Logistic distribution: Difference between revisions

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===The Logistic Distribution===
#REDIRECT [[The_Logistic_Distribution]]
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 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====
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 confidence bounds}}

Latest revision as of 08:57, 3 August 2012

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