Generalized logistic distribution (GLO) library

버전 1.0.1 (5.04 KB) 작성자: Guillaume Talbot
A package of the most common functions for the Generalized Logistic distribution (GLO)

다운로드 수: 41

업데이트 날짜: 2021/4/28

라이선스 보기

The Generalized Logistic distribution is an interesting alternative for extreme values modelization, like the GEV or Pearson 3 distributions (among others)

For the Generalized Logistic distribution distribution
-Estimate the parameters of the distribution for a given sample
-Compute the probability density function (pdf)
-Compute the cumulative distribution function (cdf)
-Compute the inverse of the cumulative distribution function
-Generate a random sample

The fitting of the parameters is based on the L-moment method from Hosking and Wallis (1997) :
Hosking, J., & Wallis, J. (1997). Regional Frequency Analysis: An Approach Based on L-Moments. Cambridge: Cambridge University Press. doi:10.1017/CBO9780511529443

인용 양식

Guillaume Talbot (2022). Generalized logistic distribution (GLO) library (, MATLAB Central File Exchange. 검색됨 .

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개발 환경: R2018a
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