This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 423
Type: Contributed
Date/Time: Tuesday, August 3, 2010 : 2:00 PM to 3:50 PM
Sponsor: Business and Economic Statistics Section
Abstract - #306944
Title: Constrained Estimation with Distorted Data by the Least-Squares Criterion
Author(s): Luis Frank*+
Companies: University of Buenos Aires
Address: Av. San Martín 4453, Buenos Aires, C1417DSE, Argentina
Keywords: Constrained Least Squares ; Missing Data ; Linear Estimator ; Regression ; Linear Models

The paper presents a constrained least squares estimator for "distorted" data and analyses its asymptotic properties. The estimator is unbiased (but inefficient) and normally distributed, provided that the code used in place of the distorted data meets certain conditions. The properties of the estimator in the context of small samples remain unknown.

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