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.

Language
Englisch

Bibliographic citation
Journal: Statistics in Transition New Series ; ISSN: 2450-0291 ; Volume: 21 ; Year: 2020 ; Issue: 1 ; Pages: 159-168 ; New York: Exeley

Subject
ratio-exponential estimators
auxiliary attribute
mean square error
efficiency

Event
Geistige Schöpfung
(who)
Zaman, Tolga
Event
Veröffentlichung
(who)
Exeley
(where)
New York
(when)
2020

DOI
doi:10.21307/stattrans-2020-009
Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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Object type

  • Artikel

Associated

  • Zaman, Tolga
  • Exeley

Time of origin

  • 2020

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