2015International journal of mathematics and computationRequires access

Some Improved Estimators for Population Mean in Double Sampling

G. N. Singh, A. K. Sharma

Open publisher page 3 citations

Abstract

In this article, we propose some improved estimators of population mean under the frame work of double sampling (two-phase sampling) scheme in presence of two auxiliary variables. Properties of the suggested estimators have been studied and their performances are examined in terms of empirical comparisons. Empirical studies explore that the proposed estimators are dominate over the several well known estimators under the similar circumstances. Results are analyzed and recommendations have been made.

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What this paper is about

In this article, we propose some improved estimators of population mean under the frame work of double sampling (two-phase sampling) scheme in presence of two auxiliary variables. Properties of the suggested estimators have been studied and their performances are examined in terms of empirical comparisons. Empirical studies explore that the proposed estimators are dominate over the several well known estimators under the similar circumstances. Results are analyzed and recommendations have been made.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this article, we propose some improved estimators of population mean under the frame work of double sampling (two-phase sampling) scheme in presence of two auxiliary variables. Properties of the suggested estimators have been studied and their performances are examined in terms of empirical comparisons. Empirical studies explore that the proposed estimators are dominate over the several well known estimators under the similar circumstances. Results are analyzed and recommendations have been made.

Key concepts: Estimator, Mathematics, Population mean, Extremum estimator, Sampling (signal processing), Statistics, Bootstrapping (finance), Population

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