Browsing A - Mathematics and Natural Sciences by Author "Fathurahman, M."
Now showing items 1-10 of 10
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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
Fathurahman, M. (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), ... -
Count Data Modeling Using GAMLSS Approach and Its Application in Dengue Hemorrhagic Fever Cases in East Kalimantan Province, Indonesia
Fathurahman, M. (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 ... -
Geographically Weighted Multivariate Logistic Regression Model and Its Application
Fathurahman, M. (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 ... -
Hypothesis testing of Geographically weighted bivariate logistic regression
Fathurahman, M.; Purhadi, Purhadi; Sutikno, Sutikno; Vita, Ratnasari (IOP Publishing Ltd., 2019-12-20)In this study, the hypothesis testing of geographically weighted bivariate logistic regression (GWBLR) procedure is proposed. The GWBLR model is a bivariate logistic regression (BLR) model which all of the regression ... -
INVERSE GAUSSIAN REGRESSION MODELING AND ITS APPLICATION IN NEONATAL MORTALITY CASES IN INDONESIA
Fathurahman, M. (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 ... -
A Logit Model for Bivariate Binary Responses
Fathurahman, M. (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 ... -
Negative Binomial Regression Analysis on Dengue Hemorrhagic Fever Cases in East Kalimantan Province
Fathurahman, M. (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
Fathurahman, M. (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
Fathurahman, M. (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 ... -
Regresi Binomial Negatif untuk Memodelkan Kematian Bayi di Kalimantan Timur
Fathurahman, M. (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 ...