Abstract:
fmm fits a finite mixture regression model using maximum likelihood estimation. The model is a J-component finite mixture of densities, with the density within a class (j) allowed to vary in location and scale. Optionally, the mixing probabilities may be specified with covariates. fmm currently fits mixtures of the following distributions: Gamma, Normal (Gaussian), Negative binomial 1 & 2 (mean and constant dispersion), Poisson, Student-t (with fixed degrees of freedom)
Language: Stata Requires: Stata version 9.2 Keywords:Finite mixture model; maximum likelihood estimation; mixture of densities (search for similar items in EconPapers) Date: 2007-12-11, Revised 2008-10-08 Note: This module may be installed from within Stata by typing "ssc install fmm". Windows users should not attempt to download these files with a web browser.
More software in Statistical Software Components from Boston College Department of Economics Address: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA Contact information at EDIRC. Series data maintained by Christopher F Baum ().
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