eprintid: 67399
rev_number: 10
eprint_status: archive
userid: 12460
dir: disk0/00/06/73/99
datestamp: 2024-10-01 02:54:52
lastmod: 2024-10-01 02:54:52
status_changed: 2024-10-01 02:54:52
type: thesis
metadata_visibility: show
contact_email: muh.khabib@uin-suka.ac.id
creators_name: Salman Al-Farisi, NIM.: 19106010037
title: ANALISIS REGRESI POISSON, REGRESI BINOMIAL NEGATIF DAN REGRESI HURDLE BINOMIAL NEGATIF PADA DATA OVERDISPERSI (STUDI KASUS : JUMLAH KASUS KEMATIAN PENDERITA DEMAM BERDARAH DENGUE DI PROVINSI JAWA TIMUR TAHUN 2022)
ispublished: pub
subjects: 560
divisions: jur_mat
full_text_status: restricted
keywords: Regresi Poisson, Binomial Negatif, HBN, Overdispersi, MLE, AIC
note: Pembimbing: Sri Utami Zuliana, S.Si.,M.Sc.,Ph.D
abstract: The Poisson regression aims to illustrates the connection between the predicting
variable and the response variable which has to be a discreet data. The
required assumption is equidispersion, which is the response variable variant that
is equal to the mean. Yet, this assumption is often violated, in which the variant
value is larger than the mean, this is called overdispersion. To solve this, the Binomial
Negative regression and the Hurdle Negative Binomial (HNB) can be done.
The parameter is estimated using the Maximum Likelihood Estimation (MLE) approach.
The best model is chosen through the Akaike Information Criterion (AIC)
method. All three regression analyses are applied to the Dengue Fever Death Toll
in East Java Province 2022 with several factors that may affect it. Based on the AIC
calculations, the model that has the best predicting ability is the Negative Binomial
regression which is 191,94. The Negative Binomial regression model obtained is
μi = exp(6.47067 + 0, 25272X1 − 0.04879X5 − 0.10942X6)
date: 2024-08-02
date_type: published
pages: 93
institution: UIN SUNAN KALIJAGA YOGYAKARTA
department: FAKULTAS SAINS DAN TEKNOLOGI
thesis_type: skripsi
thesis_name: other
citation:   Salman Al-Farisi, NIM.: 19106010037  (2024) ANALISIS REGRESI POISSON, REGRESI BINOMIAL NEGATIF DAN REGRESI HURDLE BINOMIAL NEGATIF PADA DATA OVERDISPERSI (STUDI KASUS : JUMLAH KASUS KEMATIAN PENDERITA DEMAM BERDARAH DENGUE DI PROVINSI JAWA TIMUR TAHUN 2022).  Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.   
document_url: https://digilib.uin-suka.ac.id/id/eprint/67399/1/19106010037_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf
document_url: https://digilib.uin-suka.ac.id/id/eprint/67399/2/19106010037_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf