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Notes on Use of the Composite Estimator: an Improvement of the Ratio Estimator

Author

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  • Lui Kung-Jong

    (Department of Mathematics and Statistics, San Diego State University, San Diego, CA 92182-7720. USA.)

Abstract

This article discusses use of the composite estimator with the optimal weight to reduce the variance (or the mean-squared-error, MSE) of the ratio estimator. To study the practical usefulness of the proposed composite estimator, a Monte Carlo simulation is performed comparing the bias and MSE of composite estimators (with estimated optimal weight and with known optimal weight) with those of the simple expansion and the ratio estimators. Two examples, one regarding the estimation of dead fir trees via an aerial photo and the other regarding the estimation of the average sugarcane acres per county, are included to illustrate the use of the composite estimator developed here.

Suggested Citation

  • Lui Kung-Jong, 2020. "Notes on Use of the Composite Estimator: an Improvement of the Ratio Estimator," Journal of Official Statistics, Sciendo, vol. 36(1), pages 137-149, March.
    • Handle: RePEc:vrs:offsta:v:36:y:2020:i:1:p:137-149:n:7
    DOI: 10.2478/jos-2020-0007
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