Artikel
Generalized exponential estimators for the finite population mean
This study proposes a new class of exponential-type estimators in simple random sampling for the estimation of the population mean of the study variable using information of the population proportion possessing certain attributes. Theoretically, mean squared error (MSE) equations of the suggested ratio exponential estimators are obtained and compared with the Naik and Gupta (1996) ratio and product estimators, the ratio and product exponential estimator presented in Singh et al. (2007) and the ratio exponential estimators presented in Zaman and Kadilar (2019a). As a result of these comparisons, it is observed that the proposed estimators always produce more efficient results than the others. In addition, these theoretical results are supported by the application of original datasets.
- Sprache
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Englisch
- Erschienen in
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Journal: Statistics in Transition New Series ; ISSN: 2450-0291 ; Volume: 21 ; Year: 2020 ; Issue: 1 ; Pages: 159-168 ; New York: Exeley
- Thema
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ratio-exponential estimators
auxiliary attribute
mean square error
efficiency
- Ereignis
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Geistige Schöpfung
- (wer)
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Zaman, Tolga
- Ereignis
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Veröffentlichung
- (wer)
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Exeley
- (wo)
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New York
- (wann)
-
2020
- DOI
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doi:10.21307/stattrans-2020-009
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
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Objekttyp
- Artikel
Beteiligte
- Zaman, Tolga
- Exeley
Entstanden
- 2020