JSM 2005 - Toronto

Abstract #303913

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 190
Type: Contributed
Date/Time: Monday, August 8, 2005 : 2:00 PM to 3:50 PM
Sponsor: General Methodology
Abstract - #303913
Title: Parameter Estimation in the Presence of Coarsened Data
Author(s): Sergey S. Tarima*+ and Richard Kryscio and Yuriy Dmitriev
Companies: University of Kentucky and University of Kentucky and Tomsk State University
Address: 1608 University CT Apt E107, Lexington, KY, 40503, United States
Keywords: missing data ; coarsened data ; parameter estimation

A random sample in the presence of coarsened observations is used for estimating a vector of population parameters. A method proposed in this paper combines sample estimates obtained from different subsamples of an original sample and produces a vector of estimators accumulating the information from all sample estimates. This estimator is asymptotically efficient and can be effectively applied to nonignorable coarsening. The estimation based on this approach was applied to an artificial example and a real dataset. The results are provided.

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