MODELING COUNT DATA WITH OVER-DISPERSION USING GENERALIZED POISSON REGRESSION: A CASE STUDY OF LOW BIRTH WEIGHT IN INDONESIA
(1) Department of Mathematics, Study Program of Statistics, Mulawarman University, Samarinda
(*) Corresponding Author
Abstract
Keywords
Full Text:
PDFReferences
M. Fathurahman, I. Purnamasari and S. Prangga, "Negative binomial regression analysis on dengue hemorrhagic fever cases in East Kalimantan Province," AIP Conference Proceedings, vol. 2668, no. 070002, pp. 1-6, 2022.
J. M. Hilbe, Modeling Count Data, New York: Cambridge University Press, 2014.
P. C. Consul and F. Famoye, "Generalized Poisson regression model," Commun. Stat. Theor. Method., vol. 21, no. 1, pp. 89-109, 1992.
F. Famoye, "Restricted generalized Poisson regression," Commun. Stat. Theor. Method., vol. 22, no. 5, pp. 1335-1354, 1993.
A. Prahutama and Sudarno, "Modelling infant mortality rate in Central Java, Indonesia use generalized Poisson regression method," J. Phys.: Conf. Ser., vol. 1025, no. 012106, pp. 1-9, 2018.
World Health Organization, Global nutrition targets 2025: low birth weight, Geneva: WHO, 2014.
I. Hartiningrum and N. Fitriyah, "Bayi berat lahir rendah (BBLR) di Provinsi Jawa Timur tahun 2012-2016," Jurnal Biometrika dan Kependudukan, vol. 7, no. 2, pp. 97-104, 2018.
K. Rajashree, "Study on the factors associated with low birth weight among newborns delivered in a Tetiary-Care Hospital, Shimoga, Karnataka," International Journal of Medical Science and Public Health, vol. 4, no. 9, pp. 1287-1290, 2015.
M. Fathurahman, "Pemodelan indeks pembangunan kesehatan masyarakat kabupaten/kota di Pulau Kalimantan menggunakan pendekatan regresi probit," J. Varian, vol. 2, no. 2, pp. 47-54, 2019.
M. Fathurahman, "Regresi binomial negatif untuk memodelkan kematian bayi di Kalimantan Timur," J. Eksponensial, vol. 13, no. 1, pp. 79-86, 2022.
M. Fathurahman, "Inverse Gaussian regression modeling and its application in neonatal mortality cases in Indonesia," BAREKENG: J. Math. Appl., vol. 16, no. 4, pp. 1197-1206, 2022.
A. Agresti, Foundations of Linear and Generalized Linear Models, New Jersey: John Wiley & Sons, 2015.
Y. Pawitan, All Likelihood: Statistical Modelling and Inference Using Likelihood, 1st ed., Oxford: Clarendon Press, 2001.
A. C. Cameron and T. P. K, Regression Analysis of Count Data, 2nd ed., New York: Cambridge University Press, 2013.
The Ministry of Health of the Republic of Indonesia, The Indonesian Profile of Health 2021, Jakarta: The Ministry of Health of the Republic of Indonesia, 2022.
The Central Statistics Agency of the Republic of Indonesia, Indonesian Statistics, Jakarta: The Central Statistics Agency of the Republic of Indonesia, 2022.
D. N. Gujarati and D. C. Porter, Basic Econometrics, 5th ed., New York: McGraw-Hill/Irwin, 2009.
Article Metrics
Abstract view : 453 timesPDF - 103 times
DOI: https://doi.org/10.26714/jsunimus.11.1.2023.45-60
Refbacks
- There are currently no refbacks.
Copyright (c) 2023 Jurnal Statistika Universitas Muhammadiyah Semarang
Editorial Office:
Department of Statistics
Faculty Of Mathematics And Natural Sciences
Universitas Muhammadiyah Semarang
Jl. Kedungmundu No. 18 Semarang Indonesia
Published by:
Department of Statistics Universitas Muhammadiyah Semarang
This work is licensed under a Creative Commons Attribution 4.0 International License