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Journals / Hacettepe Journal of Mathematics and Statistics / 2018 / Cilt: 47 - Sayı: 2

Estimation of population distribution function in the presence of non-response

Javid SHABBIR
Mazhar YAQUB
Pages
471–511
Publication Date
2022-10-18
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

A numerical study is carried out to evaluate the performances of estimators.

📌 3 Key Takeaways

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Objective & Hypothesis:This article addresses the problem of estimating the population distribution function in the presence of non-response.
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Key Findings & Data:The performance of estimators are compared theoretically and numerically.
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Conclusion & Impact:A numerical study is carried out to evaluate the performances of estimators.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Auxiliary variable · absolute relative bias · cumulative distribution function

Abstract

This article addresses the problem of estimating the population distribution function in the presence of non-response. We suggest a general class of estimators for estimating the cumulative distribution function using the auxiliary information. Expressions for bias and mean squared error of considered estimators are derived up to the first order of approximation. The performance of estimators are compared theoretically and numerically. A numerical study is carried out to evaluate the performances of estimators.

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Cite This Article

SHABBIR, J., YAQUB, M. (2022). Estimation of population distribution function in the presence of non-response. Hacettepe Journal of Mathematics and Statistics, Cilt: 47 - Sayı: 2, 471–511. https://ajindex.com/articles/529863

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References (1)

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