CD Skripsi

Pemodelan Jumlah Kasus Kematian Bayi Di Kabupaten Kuantan Singingi Menggunakan Regresi Binomial Negatif

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ABSTRACT
Infant mortality is one of the commonly used mortality indicators in Indonesia. Cases of infant mortality reflect the level of social welfare and health status of a nation for the realization of health development in a country. One of the ways to reveal the high number of infant mortality cases is by knowing the most significant factors that cause infant mortality. The results obtained from this study experienced overdispersion in Poisson regression, so that in the analysis using negative binomial regression, a significant variable was obtained, namely the number of medical personnel with the best AIC in negative binomial regression for a significant variable in reduction II with an AIC value of 60.42.
Keywords: Infant Mortality Cases, Poisson Regression, Overdispersion,
Negative Binomal Regression.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1803124165

Penerbit

Pekanbaru : Universitas Riau FMIPA Statistika., 2023

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1803124165

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

STATISTIKA

Info Detail Spesifik

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Pernyataan Tanggungjawab

ERA

Versi lain/terkait

Lampiran Berkas

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