Weibull++ Standard Folio Data Logistic: Difference between revisions

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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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Revision as of 18:56, 24 April 2012

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Standard Folio Logistic Distribution

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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