Nusyirwan, Nusyirwan Gamma and Lognormal Models in the Generalized Linear Model Perspective. Jurusan Matematika, Universitas Lampung. (Unpublished)

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Abstract

The aim of this study is to examine the influence of scale parameters that determine the coefficient of variance of both gamma and log-normal models in perspective of generalizedlinear model (GLM). The gamma and lognormal modelsare 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 log-normal model, as well as the precision

Item Type:	Other
Subjects:	Q Science > QA Mathematics
Divisions:	Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Prodi Matematika
Depositing User:	NUSYIRWAN
Date Deposited:	13 May 2022 01:21
Last Modified:	13 May 2022 01:21
URI:	http://repository.lppm.unila.ac.id/id/eprint/41601

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