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Menampilkan 1–2 dari 2 artikel
Evaluating Ordinal Multivariate Models under Multicollinearity via Pairwise Likelihood: A Simulation Perspective
Achmad Fauzan
; Kusman Sadik
; Anang Kurnia
Advance Sustainable Science, Engineering and Technology
Vol 7
, No 4
(2025)
This study examines the effect of multicollinearity on ordinal regression through a two-stage Monte Carlo simulation. A synthetic population of 2,000,000 observations was generated with predictors drawn from a normal distribution, and responses simulated using an ordinal probit model. A Monte Carlo procedure was employed with 10 repetitions, each consisting of 100 random samples of 1,000 observations. Parameter estimation employed Maximum Likelihood Estimation (MLE) for univariate models and Pai...
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Comparative Performance of GLMM and GEE for Longitudinal Beta Regression in Economic Inequality Modelling
Sihombing, Pardomuan Robinson
; Erfiani
; Khairil Anwar Notodiputro
; Anang Kurnia
Advance Sustainable Science, Engineering and Technology
Vol 7
, No 3
(2025)
Due to the shortcomings of conventional Gaussian methods, specialized models are frequently needed for longitudinal data analysis with bounded outcomes, such as the Gini ratio. In order to model economic inequality in Indonesia, this study compares the effectiveness of Generalized Linear Mixed Models (GLMM) and Generalized Estimating Equations (GEE) for beta-distributed longitudinal data. Root Mean Square Error (RMSE) and pseudo R-squared values are used to assess model performance using panel d...
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DOI