Variance Estimation Using Auxiliary Information

Cary T. Isaki

doi:10.2307/2287117

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Variance Estimation Using Auxiliary Information

Cary T. Isaki

Year: 1983 Journal: Journal of the American Statistical Association Vol: 78 (381)Pages: 117-117

DOI: 10.2307/2287117

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Abstract

Abstract Abstract Variance estimators under several sample designs are proposed and compared when auxiliary information is available. Improvement of the bias and mean squared error over some estimators commonly used in practice is illustrated. A Monte Carlo comparison of the estimators is also presented. Key Words: RatioRegression estimatorsSRS sampling designOne PSU per stratum sampling designSuperpopulation model

Keywords:

Estimator Statistics Variance (accounting) Monte Carlo method Mean squared error Mathematics Sample (material) Estimation Econometrics Computer science Engineering

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Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Variance Estimation Using Auxiliary Information

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