INFLUENCE DIAGNOSTICS IN SEMIPARAMETRIC LINEAR MIXED MEASUREMENT ERROR MODELS

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EMAMI HADI; MANSOORI PARVANEH

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Journal: JOURNAL OF STATISTICAL SCIENCES Year:2018 | Volume:11 | Issue:2 Page(s): 219-240

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Information Journal Paper

Title

INFLUENCE DIAGNOSTICS IN SEMIPARAMETRIC LINEAR MIXED MEASUREMENT ERROR MODELS

Author(s)

EMAMI HADI | MANSOORI PARVANEH | Issue Writer Certificate

Keywords

CASE DELETIONQ1

COOK'S DISTANCEQ1

CORRECTED SCORE METHODSQ1

LINEAR MIXED MODELSQ1

MEASUREMENT ERRORQ1

SEMIPARAMETRIC LINEAR MODELSQ1

Abstract

Semiparametric linear mixed MEASUREMENT ERROR models are extensions of linear mixed MEASUREMENT ERROR models to include a nonparametric function of some covariate. They have been found to be useful in both cross-sectional and longitudinal studies. In this paper first we propose a penalized corrected likelihood approach to estimate the parametric component in semiparametric linear mixed MEASUREMENT ERROR model and then using the CASE DELETION and subject deletion analysis we survey the influence diagnostics in such models. Finally, the performance of our influence diagnostics methods are illustrated through a simulated example and a real data set.

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APA: Copy

EMAMI, HADI, & MANSOORI, PARVANEH. (2018). INFLUENCE DIAGNOSTICS IN SEMIPARAMETRIC LINEAR MIXED MEASUREMENT ERROR MODELS. JOURNAL OF STATISTICAL SCIENCES, 11(2 ), 219-240. SID. https://sid.ir/paper/124139/en

Vancouver: Copy

EMAMI HADI, MANSOORI PARVANEH. INFLUENCE DIAGNOSTICS IN SEMIPARAMETRIC LINEAR MIXED MEASUREMENT ERROR MODELS. JOURNAL OF STATISTICAL SCIENCES[Internet]. 2018;11(2 ):219-240. Available from: https://sid.ir/paper/124139/en

IEEE: Copy

HADI EMAMI, and PARVANEH MANSOORI, “INFLUENCE DIAGNOSTICS IN SEMIPARAMETRIC LINEAR MIXED MEASUREMENT ERROR MODELS,” JOURNAL OF STATISTICAL SCIENCES, vol. 11, no. 2 , pp. 219–240, 2018, [Online]. Available: https://sid.ir/paper/124139/en

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