Margeliza , Safitri (2025) STUDI SIMULASI METODE MODIFIED TWO-PARAMETER LIU ESTIMATOR (MTPLE) DALAM MENGATASI MULTIKOLINEARITAS PADA MODEL REGRESI POISSON. FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM, UNIVERSITAS LAMPUNG .
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Abstract
This study aims to evaluate the performance of the Modified Two-Parameter Liu Estimator (MTPLE) method in dealing with multicollinearity and compare the performance of MLE, Liu Estimator, and MTPLE. It uses simulated data with n=30, 50, 75, 150, and 300 in a Poisson regression model (p=4,6,8) with ρ = 0.89, 0.95, and 0.99. The performance is evaluated using the mean square error (MSE) criterion. The results showed the superiority of MTPLE over the other estimators as it has the smallest MSE value. Keywords: Modified Two-Parameter Liu Estimator, Liu Estimator, MLE, Multicollinearity, Poisson Regression Model. Penelitian ini bertujuan untuk mengevaluasi kinerja metode Modified Two- Parameter Liu Estimator (MTPLE) dalam menangani multikolinearitas dan membandingkan kinerja MLE, Liu Estimator, dan MTPLE. Penelitian ini menggunakan data simulasi dengan n=30, 50, 75, 150, dan 300 dalam model regresi Poisson (p=4,6,8) dengan ρ = 0,89, 0,95, dan 0,99. Kinerja dievaluasi menggunakan kriteria mean square error (MSE). Hasil penelitian menunjukkan keunggulan MTPLE dibandingkan estimator lainnya karena memiliki nilai MSE terkecil. Kata Kunci: Modified Two-Parameter Liu Estimator, Liu Estimator, MLE, Multikolinearitas, Model Regresi Poisson.
| Item Type: | Other |
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| Subjects: | ?? 500 ?? ?? 510 ?? |
| Divisions: | Fakultas MIPA > Prodi Matematika |
| Depositing User: | . . Yulianti |
| Date Deposited: | 20 Nov 2025 01:41 |
| Last Modified: | 20 Nov 2025 01:41 |
| URI: | http://digilib.unila.ac.id/id/eprint/93654 |
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