Exponential Estimators Under Non-Response Cases

This study proposes new families of estimators for the estimation of the population mean using the Hansen-Hurwitz method. This method is examined in two cases, referred to as Case I and Case II. According to both cases, the expressions for the proposed family of estimators are derived. After theoretical comparisons, a new data set on the magnitude and a simulation study are conducted to support these theoretical results. As a consequence of this study, the proposed families of estimators perform well under the obtained conditions for both non-response schemes and can be used successfully in the field of seismology.

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Publication Details

Journal
Sinop Üniversitesi Fen Bilimleri Dergisi
Published
2025-06-29
DOI
https://doi.org/10.33484/sinopfbd.1569245
Citations
1
Primary Topic
Survey Sampling and Estimation Techniques
Type
article
Field-Weighted Citation Impact
2.63

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article

Exponential Estimators Under Non-Response Cases

Cem Kadılar, Ceren Ünal
1 citations
Sinop Üniversitesi Fen Bilimleri Dergisi
Survey Sampling and Estimation Techniques
2.63
article

Exponential Estimators Under Non-Response Cases

Cem Kadılar, Ceren Ünal
article en
1 citations

Abstract

This study proposes new families of estimators for the estimation of the population mean using the Hansen-Hurwitz method. This method is examined in two cases, referred to as Case I and Case II. According to both cases, the expressions for the proposed family of estimators are derived. After theoretical comparisons, a new data set on the magnitude and a simulation study are conducted to support these theoretical results. As a consequence of this study, the proposed families of estimators perform well under the obtained conditions for both non-response schemes and can be used successfully in the field of seismology.

Sinop Üniversitesi Fen Bilimleri DergisiVol. 10(1)
Hacettepe University (TR)
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
Openalex Percentile: Top 11%
Survey Sampling and Estimation Techniques
2.63
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