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Journals / Hacettepe Journal of Mathematics and Statistics / 2017 / Cilt: 46 - Sayı: 6

Study of general families of estimators in two-stage sampling with unequal size clusters under non-response

Manoj K. CHAUDHARY
V. K. SİNGH
Cem KADİLAR
Pages
1139–1149
Publication Date
2022-10-18
DOI
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⚡ TL;DR(Too Long; Didn't Read)

An empirical study is also carried out to support the theoretical results.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper presents some salient features of the biased and unbiased estimators of population mean in two-stage sampling with unequal sizeclusters in presence of non-response.
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Key Findings & Data:Paper proposes general families of factor-type estimators of population mean using information on anauxiliary variable under the condition that the non-response is observed on study variable only and on both study and auxiliary variables respectively.
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Conclusion & Impact:An empirical study is also carried out to support the theoretical results.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Two-stage sampling · unequal size clusters · auxiliary information

Abstract

This paper presents some salient features of the biased and unbiased estimators of population mean in two-stage sampling with unequal sizeclusters in presence of non-response. Paper proposes general families of factor-type estimators of population mean using information on anauxiliary variable under the condition that the non-response is observed on study variable only and on both study and auxiliary variables respectively. Biases and mean square errors of the families are obtained. Optimum estimators of the proposed families have been investigated in both the cases. An empirical study is also carried out to support the theoretical results.

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Cite This Article

CHAUDHARY, M. K., SİNGH, V. K., KADİLAR, C. (2022). Study of general families of estimators in two-stage sampling with unequal size clusters under non-response. Hacettepe Journal of Mathematics and Statistics, Cilt: 46 - Sayı: 6, 1139–1149. https://ajindex.com/articles/530004

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