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    Jointly Robust Estimation of Unknown Parameters and Variance Components Based on Expectation-Maximization Algorithm

    Source: Journal of Surveying Engineering:;2009:;Volume ( 135 ):;issue: 001
    Author:
    Junhuan Peng
    DOI: 10.1061/(ASCE)0733-9453(2009)135:1(1)
    Publisher: American Society of Civil Engineers
    Abstract: Robust estimation of unknown parameters in linear models with only a single error component has been widely investigated. However only a small percentage of literature treats robust estimate of variance components in heteroscedastically mixed models. The correction-based pseudoobservation method, the
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      Jointly Robust Estimation of Unknown Parameters and Variance Components Based on Expectation-Maximization Algorithm

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    http://yetl.yabesh.ir/yetl1/handle/yetl/36027
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    contributor authorJunhuan Peng
    date accessioned2017-05-08T21:01:49Z
    date available2017-05-08T21:01:49Z
    date copyrightFebruary 2009
    date issued2009
    identifier other%28asce%290733-9453%282009%29135%3A1%281%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/36027
    description abstractRobust estimation of unknown parameters in linear models with only a single error component has been widely investigated. However only a small percentage of literature treats robust estimate of variance components in heteroscedastically mixed models. The correction-based pseudoobservation method, the
    publisherAmerican Society of Civil Engineers
    titleJointly Robust Estimation of Unknown Parameters and Variance Components Based on Expectation-Maximization Algorithm
    typeJournal Paper
    journal volume135
    journal issue1
    journal titleJournal of Surveying Engineering
    identifier doi10.1061/(ASCE)0733-9453(2009)135:1(1)
    treeJournal of Surveying Engineering:;2009:;Volume ( 135 ):;issue: 001
    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
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