Showing 1 - 20 results of 10,901 for search '"linear regression"', query time: 0.12s Refine Results
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    An Entropic Approach to Constrained Linear Regression by Argimiro Arratia, Henryk Gzyl

    Published 2025-01-01
    Subjects: “…constrained linear regression…”
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    Article
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    Homoscedasticity: an overlooked critical assumption for linear regression by Kun Yang, Justin Tu

    Published 2019-10-01
    “…Linear regression is widely used in biomedical and psychosocial research. …”
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    Article
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    Black box analysis with linear regression on global warming by Yoshiyasu Takefuji

    Published 2024-12-01
    Subjects: “…Linear regression…”
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    Article
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    An Application of Fuzzy Multiple Linear Regression in Biological Paradigm by Saima Mustafa, Shumaila Ghaffar, Murrium Bibi, Muhammad Ghaffar Khan, Qaisara Praveen, Harish Garg, Mahamane Saminou

    Published 2022-01-01
    “…We have addressed a powerful computational model by utilizing dengue information joined with fuzzy multiple linear regression. Information is accumulated on dengue fever through the survey. …”
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    Kernel Negative ε Dragging Linear Regression for Pattern Classification by Yali Peng, Lu Zhang, Shigang Liu, Xili Wang, Min Guo

    Published 2017-01-01
    “…Linear regression (LR) and its variants have been widely used for classification problems. …”
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    Article
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    M Robust Weighted Ridge Estimator in Linear Regression Model by Taiwo Stephen Fayose, Kayode Ayinde, Olatayo Olusegun Alabi

    Published 2023-08-01
    Subjects: “…Linear regression model, Multicollinearity, M Estimator, Heteroscedasticity…”
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    Article
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    Internal validation parameters of linear regression equations in QSAR problem by Inna Khristenko, Volodymyr Ivanov

    Published 2023-05-01
    “…The two types of regressions based on these indices are linear dependencies on only one topological index and linear dependencies on topological index and the number of carbon atoms in the hydrocarbon. Various linear regression equations have been described with internal validation parameters that evaluate the quality of the equations from different perspectives. …”
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    Stochastic Restricted LASSO-Type Estimator in the Linear Regression Model by Manickavasagar Kayanan, Pushpakanthie Wijekoon

    Published 2020-01-01
    “…Among several variable selection methods, LASSO is the most desirable estimation procedure for handling regularization and variable selection simultaneously in the high-dimensional linear regression models when multicollinearity exists among the predictor variables. …”
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