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Comparison of Some Ratio Estimators

1965/03/01 by Myint Tin · 2 citations
Mathematics · #Survey Sampling and Estimation Techniques #Statistical Methods and Bayesian Inference #Statistical Distribution Estimation and Applications

paper · doi:10.1080/01621459.1965.10480792

openalex publication_date 1965/03/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29

Abstract

In this article, four ratio estimators designated as simple, Quenouille's, Beale's and modified ratio estimators are compared with respect to bias, efficiency, approach to normality and computational convenience. They are shown to be asymptotically minimum variance bound estimators. Some additional ratio estimators are discussed briefly and compared with these. Quenouille's, Beale's, and modified ratio estimators are found to be more attractive than the alternatives compared.

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