Results 11 to 20 of about 2,673,176 (183)
A Mathematical Programming Approach for Integrated Multiple Linear Regression Subset Selection and Validation [PDF]
, 2020 Subset selection for multiple linear regression aims to construct a regression model that minimizes errors by selecting a small number of explanatory variables.
Cheong, Taesu +3 more
core +4 more sources
A Novel Bayesian Linear Regression Model for the Analysis of Neuroimaging Data
Applied Sciences, 2022 In this paper, we propose a novel Machine Learning Model based on Bayesian Linear Regression intended to deal with the low sample-to-variable ratio typically found in neuroimaging studies and focusing on mental disorders.
Albert Belenguer-Llorens +4 more
doaj +1 more source
Modified One-Parameter Liu Estimator for the Linear Regression Model
Modelling and Simulation in Engineering, 2020 Motivated by the ridge regression (Hoerl and Kennard, 1970) and Liu (1993) estimators, this paper proposes a modified Liu estimator to solve the multicollinearity problem for the linear regression model.
Adewale F. Lukman +3 more
doaj +1 more source
Econometrical Modelling of Profit Tax Revenue
Nonlinear Analysis, 2007 The aim of this article is to present a forecast of budget revenue from the profit tax using econometric models. The set of applied models has to be reduced to very simple models due to short time series used.
R. Rudzkis, E. Mačiulaitytė
doaj +1 more source
Lietuvos Matematikos Rinkinys, 2023 In this paper we present estimated generalized least squares (EGLS) estimator for the coefficient vector β in the linear regression model y = βX + ε, where disturbance term can be heteroskedastic.
Alfredas Račkauskas, Danas Zuokas
doaj +3 more sources
Assessment of the impact of financial indicators based on the multiple linear regression model [PDF]
E3S Web of Conferences, 2023 One of the criteria for effective working capital management is the financial cycle of a commercial organization, but indicators such as liquidity and return on assets also play a great role in financial planning.
Dalisova N.A. +2 more
doaj +1 more source
Application of fuzzy linear regression models for predicting tumor size of colorectal cancer in Malaysia's Hospital [PDF]
, 2015 Fuzzy linear regression analysis has become popular among researchers and standard model in analysing data vagueness phenomena. These models were represented by five statistical models such as multiple linear regression, fuzzy linear regression (Tanaka),
Ahmad Hilmi Azman +7 more
core +1 more source
On the biased Two-Parameter Estimator to Combat Multicollinearity in Linear Regression Model
African Scientific Reports, 2022 The most popularly used estimator to estimate the regression parameters in the linear regression model is the ordinary least-squares (OLS). The existence of multicollinearity in the model renders OLS inefficient.
Janet Iyabo Idowu +3 more
doaj +1 more source
, 2015 Model tree induction is a popular method for tackling regression problems requiring interpretable models. Model trees are decision trees with multiple linear regression models at the leaf nodes.
Frank, Eibe +2 more
core +2 more sources
Choosing the Right Spatial Weighting Matrix in a Quantile Regression Model [PDF]
, 2013 This paper proposes computationally tractable methods for selecting the appropriate spatial weighting matrix in the context of a spatial quantile regression model.
Kostov, Phillip
core +2 more sources