Open AccessSIFAT-SIFAT DAN KEJADIAN KHUSUS DISTRIBUSI GAMMA
Author(s) -
Royke Yohanes Warella,
Henry Junus Wattimanela,
Venn Yan Ishak Ilwaru
Publication year - 2021
Publication title -
barekeng
Language(s) - English
Resource type - Journals
eISSN - 2615-3017
pISSN - 1978-7227
DOI - 10.30598/barekengvol15iss1pp047-058
Subject(s) - gamma distribution , generalized gamma distribution , erlang distribution , mathematics , inverse gamma distribution , statistics , moment generating function , distribution (mathematics) , exponential distribution , generalized integer gamma distribution , scale parameter , log logistic distribution , variance gamma distribution , random variable , distribution fitting , mathematical analysis , inverse chi squared distribution , asymptotic distribution , estimator
The gamma distribution is one of special continuous random variable distribution with scale parameter and shape parameter where is positive real numbers. On some conditions the gamma distribution astablishes other continuous distributions which are then called special cases of the gamma distribution. Therefore, this study was conducted to determine the properties of gamma distribution and the characteristics of the special cases of gamma distribution by analyzed the theories from literatures. The properties of gamma distribution include expectation value, variance, moment generating function, characteristic function, and estimation of gamma distribution parameters with the moment method to earn the special cases of the gamma distribution are Erlang, exponential, chi-square, and beta distributions.