TY  - GEN
CY  - UNIVESITAS LAMPUNG 
ID  - eprints86116
UR  - http://digilib.unila.ac.id/86116/
A1  - M. FIKRI ALYASA ZAM , ZAMI 
Y1  - 2025/03/24/
N2  - Poisson regression is a statistical method used to analyze data with a response in the form of a count variable. This regression uses the Maximum Likelihood Estimation (MLE) method to estimate model parameters. The purpose of this study is to compare the performance of the Poisson James-Stein Estimator (PJSE), Poisson Ridge Regression Estimator (PRRE), and Poisson Modified Kibria- Lukman Estimator (PMKLE) methods in dealing with multicollinearity using simulated data with n = 20, 40, 60 and 80 in poisson model (p=6) with 
PB  - FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM 
TI  - PERBANDINGAN PERFORMA JAMES-STEIN ESTIMATOR, RIDGE REGRESSION ESTIMATOR, DAN MODIFIED KIBRIA-LUKMAN ESTIMATOR DALAM MENGATASI MULTIKOLINEARITAS  PADA REGRESI POISSON: SIMULASI STUDI 
AV  - restricted
ER  -