JSM 2005 - Toronto

Abstract #303285

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Activity Number: 104
Type: Contributed
Date/Time: Monday, August 8, 2005 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #303285
Title: A New Model-assisted, Chi-Square Distance Function for Calibration of Design Weights
Author(s): Matthew Stearns and Sarjinder Singh*+
Companies: St. Cloud State University and St. Cloud State University
Address: Department of Statistics, St. Cloud, MN, 56301, United States
Keywords: Calibration ; Auxiliary information ; Estimation of total ; Estimation of variance ; Regression estimator
Abstract:

In the present investigation, we have proposed a new chi-square distance function for calibrating the design weights while estimating the general parameters of interest by following Rao (1994). The recent work of Singh (2004) has been shown as a special case for certain choice of weights. In the case of optimal design weights by following Godambe and Joshi (1965), the Sen-Yates-Grundy (1953) estimator of variance cannot be calibrated for the single calibration constraint recently studied by Farrell and Singh (2002, 2004) and Wu (2003). Simulation studies also are presented and discussed.

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