Application of the Proposed Technique to Estimate the Bivariate Gamma Model
DOI:
https://doi.org/10.71086/IAJSE/V11I1/IAJSE1104Keywords:
Multivariate Gamma Mixture Model (MGMM), Wilson-Hilferty Approximation, Maximum Likelihood, MCLUST, Splenomegaly.Abstract
In this paper, the parameters of the mixed gamma with m components were estimated using model assuming that the variables are not dependent. The method used includes the ideas of the (Wilson-Hilferty (WH) approximation), the (MCLUST) formula, and (the ML principle). The complexities related to parameter estimation and mixture quantitative relation determination area unit reduced thanks to incorporation of a The Wilson-Hilferty approximation (WH) that converts to multivariate Gaussian mixture (MGMM) setup. This methodology was wont to estimate the rate of spleen enlargement in patients with thalassemia (anemia Mediterranean Sea).
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2024-01-24
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How to Cite
Thanoon, S. R. (2024). Application of the Proposed Technique to Estimate the Bivariate Gamma Model. International Academic Journal of Science and Engineering, 11(1), 19-24. https://doi.org/10.71086/IAJSE/V11I1/IAJSE1104


