MPS - Estimating Through the Maximum Product Spacing Approach
Developed for computing the probability density function,
computing the cumulative distribution function, computing the
quantile function, random generation, drawing q-q plot, and
estimating the parameters of 24 G-family of statistical
distributions via the maximum product spacing approach
introduced in <https://www.jstor.org/stable/2345411>. The set
of families contains: beta G distribution, beta exponential G
distribution, beta extended G distribution, exponentiated G
distribution, exponentiated exponential Poisson G distribution,
exponentiated generalized G distribution, exponentiated
Kumaraswamy G distribution, gamma type I G distribution, gamma
type II G distribution, gamma uniform G distribution, gamma-X
generated of log-logistic family of G distribution, gamma-X
family of modified beta exponential G distribution, geometric
exponential Poisson G distribution, generalized beta G
distribution, generalized transmuted G distribution,
Kumaraswamy G distribution, log gamma type I G distribution,
log gamma type II G distribution, Marshall Olkin G
distribution, Marshall Olkin Kumaraswamy G distribution,
modified beta G distribution, odd log-logistic G distribution,
truncated-exponential skew-symmetric G distribution, and
Weibull G distribution.