Temat: Auxiliary attribute - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: On some efficient classes of estimators using auxiliary attribute
Autorzy:: Bhushan, Shashi
Kumar, Anoop
Powiązania:: https://bibliotekanauki.pl/articles/15017632.pdf
Data publikacji:: 2023-03-15
Wydawca:: Główny Urząd Statystyczny
Tematy:: Bias
Mean square error
Efficiency
Auxiliary attribute
Opis:: This paper considers some efficient classes of estimators for the estimation of population mean using known population proportion. The usual mean estimator, classical ratio, and regression estimators suggested by Naik and Gupta (1996) and Abd-Elfattah et al. (2010) estimators are identified as the members of the suggested class of estimators. The expressions of bias and mean square errors are derived up to first-order approximation. The proposed estimators were put to test against various other competing estimators till date. It has been found both theoretically and empirically that the suggested classes of estimators dominate the existing estimators.
Źródło:: Statistics in Transition new series; 2023, 24, 2; 141-157
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Generalized exponential estimators for the finite population mean
Autorzy:: Zaman, Tolga
Powiązania:: https://bibliotekanauki.pl/articles/1358310.pdf
Data publikacji:: 2020-03-23
Wydawca:: Główny Urząd Statystyczny
Tematy:: ratio-exponential estimators
auxiliary attribute
mean square error
efficiency
Opis:: 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.
Źródło:: Statistics in Transition new series; 2020, 21, 1; 159-168
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

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