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    Linear regression methods a ccording to objective functions

    New search for: Yasemin Sisman
    New search for: Sebahattin Bektas

    The aim of the study is to explain the parameter estimation methods and the regression analysis. The simple linear regressionmethods grouped according to the objective function are introduced. The numerical solution is achieved for the simple linear regressionmethods according to objective function of Least Squares and theLeast Absolute Value adjustment methods. The success of the appliedmethods is analyzed using their objective function values.

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    Linear regression methods a ccording to objective functions

    New search for: Yasemin Sisman
    New search for: Sebahattin Bektas

    The aim of the study is to explain the parameter estimation methods and the regression analysis. The simple linear regressionmethods grouped according to the objective function are introduced. The numerical solution is achieved for the simple linear regressionmethods according to objective function of Least Squares and theLeast Absolute Value adjustment methods. The success of the appliedmethods is analyzed using their objective function values.

    Access

    Download

    Linear regression methods a ccording to objective functions

    New search for: Yasemin Sisman
    New search for: Sebahattin Bektas

    The aim of the study is to explain the parameter estimation methods and the regression analysis. The simple linear regressionmethods grouped according to the objective function are introduced. The numerical solution is achieved for the simple linear regressionmethods according to objective function of Least Squares and theLeast Absolute Value adjustment methods. The success of the appliedmethods is analyzed using their objective function values.

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    Download

    Access

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    Document information
    Title:

    Linear regression methods a ccording to objective functions

    Contributors:

    Yasemin Sisman (author) / Sebahattin Bektas (author)

    Published in:

    Acta Montanistica Slovaca, Vol 17, Iss 3, Pp 209-217 (2012)

    Publication date:

    2012

    ISSN:

    1335-1788

    Type of media:

    Article (Journal)

    Type of material:

    Electronic Resource

    Language:

    Unknown

    Keywords:

    Regression Analysis , parameter estimation methods , objective f unction , least squares method , least absolute value method , Mining engineering. Metallurgy , TN1-997 , Geology , QE1-996.5

    Metadata by DOAJ is licensed under ​CC BY-SA 1.0

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