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A Procedure to Estimate the Population Mean in Random Effects Models

Year: 2025

Type: article

Abstract: A general procedure for estimating the population mean in random effects models of the nested and/of classification type is considered. The suggested estimator is unbiased and consistent (with respect to the structure of the experimental design). It is also optimal with respect to a particular quadratic, location-sensitive criterion. Finally, for experimental designs which contain a certain degree of structural balance, the suggested estimator coincides with the sample mean.

Source: Carolina Digital Repository (University of North Carolina at Chapel Hill)

DOI: 10.17615/pepw-3e83

Author: Koch, Gary G.

Institution: University of North Carolina at Chapel Hill

Language: English

Topic: Optimal Experimental Design Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W4417417027

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