Calibration based chain ratio-type estimator of population total under successive sampling

Shiwani Tiwari, Alka () and Piyush Kant Rai
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Shiwani Tiwari: GITAM University
Alka: Banasthali Vidyapith
Piyush Kant Rai: Banaras Hindu University

International Journal of System Assurance Engineering and Management, 2024, vol. 15, issue 7, No 23, 3161 pages

Abstract: Abstract This article suggests a chain ratio-type estimator of population total based on calibration that takes into account auxiliary variables present on both occasions, and information on the study variable is not available on the first occasion. The optimal composite weights to choose, together with their performance range, are presented along with the bias expression. An empirical and simulation-based study is used to evaluate the effectiveness of the suggested estimator. The studies demonstrate that the proposed estimator outperforms the other estimators for various composite weight selections with varying matched and unmatched sample sizes.

Keywords: Auxiliary information; Calibration estimator; Chain ratio-type estimator; Composite weight; Successive sampling (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s13198-024-02321-y

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