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Author
Zaman Tolga (Çankırı Karatekin University, Turkey)
Title
Generalized Exponential Estimators for the Finite Population Mean
Source
Statistics in Transition, 2020, vol. 21, nr 1, s. 159-168, tab., bibliogr. s. 167-168
Keyword
Estymacja, Estymatory, Teoria optymalizacji
Estimation, Estimators, Optimization theory
Note
summ.
Abstract
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. (original abstract)
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The Main Library of the Cracow University of Economics
The Library of Warsaw School of Economics
The Library of University of Economics in Katowice
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Bibliography
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Cited by
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ISSN
1234-7655
Language
eng
URI / DOI
http://dx.doi.org/10.21307/stattrans-2020-009
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