Statistical Modelling for Plant Size Distributions

Developed for the following tasks . I ) Computing the probability density function , cumulative distribution function , random generation , and estimating the parameters of the eleven mixture models . II ) Point estimation of the parameters of two - parameter Weibull distribution using twelve methods and three - parameter Weibull distribution using nine methods . III ) The Bayesian estimators of the three - parameter Weibull distribution . IV ) Estimating parameters of the three - parameter Birnbaum - Saunders , generalized exponential , and Weibull distributions fitted to grouped data using three methods including approximated maximum likelihood , expectation maximization , and maximum likelihood . V ) Estimating the parameters of the gamma , log-normal , and Weibull mixture models fitted to the grouped data through the EM algorithm , VI ) Estimating parameters of the nonlinear height curve fitted to the height - diameter observation , VII ) Estimating parameters , computing probability density function , cumulative distribution function , and generating realizations from gamma shape mixture model introduced by Venturini et al. (2008) , and VIII ) Robust multiple linear regression analysis when error term follows skewed t distribution .


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0.5.8 by Mahdi Teimouri, 10 days ago

Browse source code at

Authors: Mahdi Teimouri

Documentation:   PDF Manual  

GPL (>= 2) license

Imports ars, pracma

See at CRAN