Mask Compliance Modeling Related COVID-19 in Indonesia Using Spline Nonparametric Regression [PDF]
, 2022 Until now, Coronavirus disease (COVID-19) has become a concern for Indonesia because of its significant development and impact on various sectors of life and hampering the target of achieving Sustainable Development Goals (SDGs).
Adriansyah, M. Haykal +6 more
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DEVELOPMENT OF SOME RIDGE ESTIMATORS FOR CLASSICAL AND GENERALIZED LINEAR REGRESSION MODELS
, 2022 Regression analysis is a statistical tool usually used to study the relationship between a dependent variable and independent variables. The classical linear regression model (CLRM) and Generalized Linear Regression Model (GLRM) are examples of ...
ALADEITAN, BOLUWAJI BENEDICTA
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Special ridge-type estimator: Simulation and application to chemical data
AIP AdvancesThis study delves into regularization techniques, such as ridge regression, Liu estimator, and Kibria–Lukman estimator, as alternatives to the maximum likelihood method for addressing multicollinearity in beta regression models.
Rasha A. Farghali +4 more
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Performance Of Some New Quantile-Based Two Parameter Ridge Estimators For Linear Regression Model: Simulation And Application [PDF]
In regression analysis, the efficiency of the ordinary least square (OLS) estimator decreases when the predictors become highly correlated leading to the problem of multicollinearity.
Bushra Haider, Syed Muhammad Asim, Danish Wasim, Naveed Ullah, Qamruz Zaman
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Factors Affecting the Number of Infant Morality Cases in West Java for the 2019-2020 Period using Generalized Poisson Regression (GPR) [PDF]
, 2023 The number of infant mortality cases is data in the form of counts which is modeled by Poisson regression. There is an assumption that needs to be met, namely equidispersion.
Dewi, Kartika +2 more
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Research in StatisticsIn linear regression, when predictors exhibit collinearity, the problem of multicollinearity arises, leading to a reduction in the efficiency of the ordinary least squares (OLS) estimator.
Qamruz Zaman +4 more
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The Almon Liu-Type M-Estimator for the Distributed Lag Models in the Presence of Multicollinearity and Outliers [PDF]
The Almon method is widely used for the estimation of the distributed lag models (DLM). The advantage of using the Almon technique lies in its capability to avoid some serious problems that may arise from the direct application of ordinary least squares (
Ali, Nasir +3 more
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A New Ridge – type in the Bell Regression Model [PDF]
In scenario analysis, collinearity is a big issue in analyzing such relationship as between the response variable and several explanatory variables. As for these difficulties, the linear regression model, often traditionally, offers a range of shrinkage ...
Algamal, Zakariya Yahya, Alsarraf, Israa
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A Hybrid Liu-Ridge Method of Handling Multicollinearity in Linear Regression Models [PDF]
Multicollinearity is a critical challenge in linear regression analysis, causing instability and unreliability in Ordinary Least Squares (OLS) estimates when independent variables are highly correlated.
Adejumo T. J. +2 more
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On Some Ridge Regression Estimators for Logistic Regression Models [PDF]
, 2018 The purpose of this research is to investigate the performance of some ridge regression estimators for the logistic regression model in the presence of moderate to high correlation among the explanatory variables.
Williams, Ulyana P
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