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Geographically Weighted Multivariate Logistic Regression Model and Its Application
(HINDAWI, 2020-08-01)
This study investigates the geographically weighted multivariate logistic regression (GWMLR) model, parameter estimation, and
hypothesis testing procedures. The GWMLR model is an extension to the multivariate logistic ...
A Logit Model for Bivariate Binary Responses
(MDPI, 2021-02-16)
This article provides a bivariate binary logit model and statistical inference procedures for parameter estimation and hypothesis testing. The bivariate binary logit (BBL) model is an extension of the binary logit model ...
Count Data Modeling Using GAMLSS Approach and Its Application in Dengue Hemorrhagic Fever Cases in East Kalimantan Province, Indonesia
(Science Press, 2021-12-24)
Generalized Additive Models for Location, Scale and Shape (GAMLSS) is a robust approach used to model various types and characteristics of data. Therefore, this research aims to model the count data using the GAMLSS approach ...
Association Analysis of the Number of Dengue Hemorrhagic Fever Cases in East Kalimantan with the Factors of Geographic, Demographic, and Health Using Spearman Rank Correlation
(PIU-IsDB Mulawarman University, 2021-10-06)
Dengue Hemorrhagic Fever (DHF) is a mosquito-borne infection caused by the dengue virus, primarily found in the tropics and sub-tropics. The Indonesian country is a tropical climate. During the last three years (2017-2019), ...
Negative Binomial Regression Analysis on Dengue Hemorrhagic Fever Cases in East Kalimantan Province
(2021-10-12)
Poisson regression is commonly used in modeling count data. An essential assumption of the Poisson
regression model is that the mean of the response variable is equal to the variance, namely equidispersion. Many fields ...
Pemilihan Model Regresi Bernoulli Terbaik
(Jurusan Matematika FMIPA Universitas Mulawarman, 2021-08-28)
Regresi Bernoulli merupakan model regresi yang dapat menjelaskan hubungan antara variabel dependen kategorik dan satu atau lebih variabel independen. Penelitian ini bertujuan mengkaji pemilihan model regresi Bernoulli ...
Regresi Binomial Negatif untuk Memodelkan Kematian Bayi di Kalimantan Timur
(Jurusan Matematika FMIPA Universitas Mulawarman, 2022-05-31)
Negative Binomial Regression (NBR) is an alternative regression model to model the relationship between the dependent variable in overdispersion count data and one or more independent variables. Overdispersion is a problem ...
INVERSE GAUSSIAN REGRESSION MODELING AND ITS APPLICATION IN NEONATAL MORTALITY CASES IN INDONESIA
(BAREKENG: Journal of Mathematics and Its Application, 2022-12-15)
Inverse Gaussian Regression (IGR) is a suitable model for modeling positively skewed response data, which
follows the inverse Gaussian distribution. The IGR model was formed from the Generalized Linear Models (GLM).
This ...
Regresi Binomial Negatif untuk Memodelkan Kematian Bayi di Kalimantan Timur
(Jurusan Matematika FMIPA Universitas Mulawarman, 2022-06-09)
Negative Binomial Regression (NBR) is an alternative regression model to model the relationship
between the dependent variable in overdispersion count data and one or more independent variables.
Overdispersion is a problem ...