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primary topic: http://digilib.uin-suka.ac.id/id/eprint/67399

http://digilib.uin-suka.ac.id/id/eprint/67399
type: Thesis
type: Article
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)
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
status: published
author list: authors
type: EPrint
type: ThesisEPrint
is part of: repository
has document: http://digilib.uin-suka.ac.id/id/document/956193
has version: http://digilib.uin-suka.ac.id/id/document/956193
has published: http://digilib.uin-suka.ac.id/id/document/956193
has document: http://digilib.uin-suka.ac.id/id/document/956194
has version: http://digilib.uin-suka.ac.id/id/document/956194
has published: http://digilib.uin-suka.ac.id/id/document/956194
has document: http://digilib.uin-suka.ac.id/id/document/956208
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has document: http://digilib.uin-suka.ac.id/id/document/956217
has document: http://digilib.uin-suka.ac.id/id/document/956218
has document: http://digilib.uin-suka.ac.id/id/document/956219
has document: http://digilib.uin-suka.ac.id/id/document/956220
subject: 510 Mathematics (Matematika)

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type: Document
label: 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) (Text)
has file: 19106010037_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf
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UIN SUNAN KALIJAGA YOGYAKARTA
type: Organization

FAKULTAS SAINS DAN TEKNOLOGI, UIN SUNAN KALIJAGA YOGYAKARTA
type: Organization

NIM.: 19106010037 Salman Al-Farisi
type: Person
given name: NIM.: 19106010037
family name: Salman Al-Farisi

http://digilib.uin-suka.ac.id/id/document/956208
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label: 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) (Other)
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http://digilib.uin-suka.ac.id/id/document/956211
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http://digilib.uin-suka.ac.id/id/document/956217
type: Document
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http://digilib.uin-suka.ac.id/id/document/956218
type: Document
label: 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) (Other)
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http://digilib.uin-suka.ac.id/id/document/956219
type: Document
label: 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) (Other)
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http://digilib.uin-suka.ac.id/id/document/956220
type: Document
label: 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) (Other)
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https://digilib.uin-suka.ac.id/id/eprint/67399/
title: HTML Summary of #67399 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)
format: text/html
primary topic: http://digilib.uin-suka.ac.id/id/eprint/67399

510 Mathematics (Matematika)
type: Concept