Application of the Proposed Technique to Estimate the Bivariate Gamma Model

Authors

  • Shaymaa Riyadh thanoon

DOI:

https://doi.org/10.71086/IAJSE/V11I1/IAJSE1104

Keywords:

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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Published

2024-01-24

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Section

Articles

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