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

Abstract Details

Activity Number: 639
Type: Contributed
Date/Time: Thursday, August 5, 2010 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #308241
Title: Improving Efficiency of Ratio-Type Estimators Through Order Statistics
Author(s): Evrim Oral*+
Companies: Louisiana State University Health Sciences Center
Address: LSUHSC 1615 Poydras Street, Suite 1400 , New Orleans, LA, 70112,
Keywords: Survey sampling ; Ratio-type estimators ; Order statistics ; Modified maximum likelihood estimators ; Robustness ; Symmetric distributions

In simple random sampling, the ratio method of estimation is a well-known technique for estimating the population mean of a study variable when the population mean of the auxiliary variable is known. In this study, a novel ratio estimator based on order statistics is introduced to increase the efficiency of the traditional ratio estimator. It is shown that the proposed estimator is considerably more efficient than the traditional ratio estimator over a very wide family of symmetric distributions. The robustness properties of the proposed estimator are also studied via simulations.

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