Nusyirwan, Nusyirwan and Netti, Herawati and Nisa, Khoirin (2020) Gamma and Lognormal Models in the Generalized Linear Model Perspective. In: 3rd International Conference on Applied Science, Mathematics, and Informatics (ICASMI), 04 September 2020, FMIPA UNILA.

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The aim of this study is to examine the influence of scale parameters that determine the coefficient of variance of both gamma and lognormal models in perspective of generalized linear model (GLM). The gamma and lognormal models are compared using the level of accuracy and precision through data simulation with scale parameters c = 0.5, 1.5, 2.5 and two different sample sizes n = 10, 20. The results show that the increasing value of the scale parameter c and sample size n make the estimated coefficient of the gamma regression coefficient more stable and more precise than the lognormal model, as well as the precision. keyword : Code : MATH_PRES_01

Item Type: Conference or Workshop Item (Speech)
Subjects: Q Science > QA Mathematics
Divisions: Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Prodi Matematika
Depositing User: NUSYIRWAN
Date Deposited: 17 Nov 2020 01:43
Last Modified: 17 Nov 2020 01:43

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