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Measurement error model parameter estimation in missing data

Author: LouLei
Tutor: LiYong
School: Beijing Normal University
Course: Probability Theory and Mathematical Statistics
Keywords: H-T estimates Weighted estimating equations Logistic Model Non-parametric model Semiparametric models MAR
CLC: O212.1
Type: Master's thesis
Year: 2007
Downloads: 105
Quote: 0
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Abstract


Mechanism for the missing at random measurement error model , the first part of this article discusses the case selection probability unknown parameter logistic model and non-parametric kernel smoothing are two ways to prepare and select the probability of re-use of HT parameter estimation method given the parameter estimates . The second part, given the nature of the fill data weighted estimating equations and conditional expectation parameters estimated two-step model with nonparametric and semi-parametric model fitting estimated equation . Finally, the results of the simulation are listed and given the large sample properties of the estimators of these parameters .

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CLC: > Mathematical sciences and chemical > Mathematics > Probability Theory and Mathematical Statistics > Mathematical Statistics > General mathematical statistics
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