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dc.contributor.authorYe, Yuanen_US
dc.contributor.authorOluyede, Broderick O.en_US
dc.contributor.authorPararai, Mavisen_US
dc.identifier.citationJournal of Statistical and Econometric Methods 2241-0376 International Scientific Press 1 2012 1 1-12en_US
dc.description.abstractThis paper applies the class of weighted generalized beta distribution of the second kind (WGB2) as descriptive models for size distribution of income. The properties of WGB2 including mean, variance, coefficient of variation(CV), coefficient of skewness(CS), coefficient of kurtosis(CK) are presented. Other properties including top-sensitive index, bottom-sensitive index, mean logarithmic deviation(MLD) index and Theil index obtained from generalized entropy(GE) are applied in this paper. WGB2 proved to be in the generalized beta-F family of distributions, and maximum likelihood estimation(MLE) is used to obtain the parameter estimates. WGB2 is fitted to U.S. family income (2001-2009) data with different values of the parameters. The empirical results show the length-biased distribution provides the best relative fit.en_US
dc.publisherInternational Scientific Pressen_US
dc.subject.keywordincome distributionen_US
dc.subject.keywordbeta-F familyen_US
dc.titleEstimation of parameters in weighted generalized beta distributions of the second kinden_US
Appears in Collections:Journal of Statistical and Econometric Methods

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