Results 11 to 20 of about 306,812 (282)
Jurnal Biometrika dan Kependudukan, 2018 Correlation between independent variables in multiple linear regression model called multicollinearity. One of the assumptions of multiple linear regression free from multicollinearity problem. Principal Component Analysis (PCA) method in this study aims
Fita Mega Kusuma, Arief Wibowo
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Generalized Kibria-Lukman Estimator: Method, Simulation, and Application
Frontiers in Applied Mathematics and Statistics, 2022 In the linear regression model, the multicollinearity effects on the ordinary least squares (OLS) estimator performance make it inefficient. To solve this, several estimators are given. The Kibria-Lukman (KL) estimator is a recent estimator that has been
Issam Dawoud +2 more
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Path Analysis of Grain Yield and Yield Components and Some Agronomic Traits in Bread Wheat
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2014 Development of new bread wheat cultivars needs efficient tools to monitor trait association in a breeding program. This investigation was aimed to characterize grain yield components and some agronomic traits related to bread wheat grain yield.
Mohsen Janmohammadi +2 more
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Learning a Robust Local Manifold Representation for Hyperspectral Dimensionality Reduction
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017 Local manifold learning has been successfully applied to hyperspectral dimensionality reduction in order to embed nonlinear and nonconvex manifolds in the data.
Danfeng Hong +2 more
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The Age–Period–Cohort Problem in Hedonic House Prices Models
Econometrics, 2022 The age–period–cohort problem has been studied for decades but without resolution. There have been many suggested solutions to make the three effects estimable, but these solutions mostly exploit non-linear specifications.
Chung-Yim Yiu, Ka-Shing Cheung
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Empirical investigation on influence of Moon’s gravitational-field to Earth’s global temperature
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, 2019 This research examined a possibility of the Moon’s gravitational-wave that may influence Earth’s global temperature, with a mathematical method of empirical analysis with the data of the global temperature, global carbon dioxide, and the distance between
Yoshio Matsuki, Petro I. Bidyuk
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Metabolites, 2019 Associations between multicollinear accelerometry-derived physical activity (PA) data and cardiometabolic health in children needs to be analyzed using an approach that can handle collinearity among the explanatory variables.
Eivind Aadland +3 more
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Application of Copulas to Improve the Modeling of Housing Tenure and Affordability
Frontiers in Applied Mathematics and Statistics, 2022 The tenure statuses made by households (renter-occupancy or owner-occupancy) are influenced by a multitude of factors, some of which cannot be directly measured.
Emmanuel Kabundu +3 more
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Role of Categorical Variables in Multicollinearity in the Linear Regression Model [PDF]
, 2007 The present article discusses the role of categorical variable in the problem of multicollinearity in linear regression model. It exposes the diagnostic tool condition number to linear regression models with categorical explanatory variables and analyzes
---, Shalabh +2 more
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Metals, 2019 Owing to the continuous deterioration in the quality of iron ore and scrap, there is an increasing focus on improving the Basic Oxygen Furnace (BOF) process to utilize lower grade input materials.
Sandip Barui +3 more
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