Shifted log-logistic distribution The shifted log-logistic distribution is a probability distribution also known as the generalized log-logistic or the three-parameter log-logistic distribution . It has also been called the generalized logistic distribution, but this conflicts with other uses of the term: see generalized logistic distribution .Definition The shifted log-logistic distribution can be obtained from the log-logistic distribution by addition of a shift parameter . Thus if has a log-logistic distribution then has a shifted log-logistic distribution. So has a shifted log-logistic distribution if has a logistic distribution . The shift parameter adds a location parameter to the scale and shape parameters of the log-logistic. The properties of this distribution are straightforward to derive from those of the log-logistic distribution. However, an alternative parameterisation , similar to that used for the generalized Pareto distribution and the generalized extreme value distribution , gives more interpretable parameters and also aids their estimation . In this parameterisation, the cumulative distribution function of the shifted log-logistic distribution is for, where is the location parameter, the scale parameter and the shape parameter . Note that some references use to parameterise the shape. The probability density function is again, for The shape parameter is often restricted to lie in , when the probability density function is bounded . When, it has an asymptote at. Reversing the sign of reflects the pdf and the cdf about.Related distributions When the shifted log-logistic reduces to the log-logistic distribution. When → 0, the shifted log-logistic reduces to the logistic distribution. The shifted log-logistic with shape parameter is the same as the generalized Pareto distribution with shape parameterApplications The three-parameter log-logistic distribution is used in hydrology for modelling flood frequency.Alternate parameterization An alternate parameterization with simpler expressions for the PDF and CDF is as follows. For the shape parameter, scale parameter and location parameter, the PDF is given by The CDF is given by The mean is and the variance is, where.
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