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  • Semiparametric maximum likelihood for regression with measurement error

    Creator:
    Suh, Eun-Young
    Abstract:
    Semiparametric maximum likelihood analysis allows inference in errors-invariables models with small loss of efficiency relative to full likelihood analysis but with significantly weakened assumptions. In addition, since no distributional assumptions are made for the nuisance parameters, the analysis more nearly parallels that for usual regression. These highly desirable features and...
    Resource Type:
    Dissertation
    Full Text:
    measurement error AN ABSTRACT OF THE DISSERTATION OF Eun-Young Suh for the degree of Doctor of Philosophy