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    New Method for Outlier Diagnostics in Linear Regression

    Source: Journal of Surveying Engineering:;2009:;Volume ( 135 ):;issue: 003
    Author:
    Serif Hekimoglu
    ,
    R. Cuneyt Erenoglu
    DOI: 10.1061/(ASCE)0733-9453(2009)135:3(85)
    Publisher: American Society of Civil Engineers
    Abstract: The detection of the discordant points, i.e., outliers, in linear regression models is a problem, which has been studied extensively. Huber’s
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      New Method for Outlier Diagnostics in Linear Regression

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    https://yetl.yabesh.ir/yetl1/handle/yetl/36043
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    contributor authorSerif Hekimoglu
    contributor authorR. Cuneyt Erenoglu
    date accessioned2017-05-08T21:01:50Z
    date available2017-05-08T21:01:50Z
    date copyrightAugust 2009
    date issued2009
    identifier other%28asce%290733-9453%282009%29135%3A3%2885%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/36043
    description abstractThe detection of the discordant points, i.e., outliers, in linear regression models is a problem, which has been studied extensively. Huber’s
    publisherAmerican Society of Civil Engineers
    titleNew Method for Outlier Diagnostics in Linear Regression
    typeJournal Paper
    journal volume135
    journal issue3
    journal titleJournal of Surveying Engineering
    identifier doi10.1061/(ASCE)0733-9453(2009)135:3(85)
    treeJournal of Surveying Engineering:;2009:;Volume ( 135 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian