PENANGANAN OVERDISPERSI PADA MODEL REGRESI POISSON MENGGUNAKAN MODEL REGRESI BINOMIAL NEGATIF
Poisson regression is the most popular tool for modeling the relationship between a discrete data in the response variable and a set of predictors with continue, discrete, categoric or mix data. Response variable with discrete data, however, may overdispersed or underdispersed, not conductive to Poi...
Main Authors: | Rio Tongaril Simarmata, Dwi Ispriyanti |
---|---|
Format: | Article |
Language: | English |
Published: |
Universitas Diponegoro
2011-12-01
|
Series: | Media Statistika |
Online Access: | https://ejournal.undip.ac.id/index.php/media_statistika/article/view/2470 |
Similar Items
-
PENERAPAN REGRESI BINOMIAL NEGATIF UNTUK MENGATASI OVERDISPERSI PADA REGRESI POISSON
by: PUTU SUSAN PRADAWATI, et al.
Published: (2013-09-01) -
Perbandingan Regresi Binomial Negatif dan Regresi Conway-Maxwell-Poisson dalam Mengatasi Overdispersi pada Regresi Poisson
by: Lusi Eka Afri
Published: (2017-03-01) -
PENERAPAN REGRESI GENERALIZED POISSON UNTUK MENGATASI FENOMENA OVERDISPERSI PADA KASUS REGRESI POISSON
by: I PUTU YUDANTA EKA PUTRA, et al.
Published: (2013-05-01) -
PERBANDINGAN REGRESI BINOMIAL NEGATIF DAN REGRESI GENERALISASI POISSON DALAM MENGATASI OVERDISPERSI (Studi Kasus: Jumlah Tenaga Kerja Usaha Pencetak Genteng di Br. Dukuh, Desa Pejaten)
by: NI MADE RARA KESWARI, et al.
Published: (2014-08-01) -
PENERAPAN REGRESI QUASI-LIKELIHOOD PADA DATA CACAH (COUNT DATA) YANG MENGALAMI OVERDISPERSI DALAM REGRESI POISSON
by: DESAK PUTU PRAMI MEITRIANI, et al.
Published: (2013-05-01)