Temat: dual to ratio estimator - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: A Class of Chain Ratio-Cum-Dual to Ratio Type Estimator with Two Auxiliary Characters Under Double Sampling in Sample Surveys
Autorzy:: Choudhury, S.
Singh, B. K.
Powiązania:: https://bibliotekanauki.pl/articles/465944.pdf
Data publikacji:: 2012
Wydawca:: Główny Urząd Statystyczny
Tematy:: auxiliary variate
double sampling
chain ratio-cum-dual to ratio estimator
bias
variance
efficiency
Opis:: This paper considers a chain ratio-cum-dual to ratio type estimator for estimating population mean of the study variate using two auxiliary variates under double (two-phase) sampling procedure, when the information on another additional auxiliary variate is available along with the main auxiliary variate. The asymptotically optimum estimators (AOEs) in the class are identified in two different cases with their bias and variances. The optimum values of the first phase and second phase sample sizes have been obtained for the fixed cost of survey. Theoretical and empirical studies have also been done to demonstrate the efficiency of the proposed estimator with respect to strategies which utilized the information on two auxiliary variates.
Źródło:: Statistics in Transition new series; 2012, 13, 3; 519-536
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Estimation of finite population mean using two auxiliary variables under stratified random sampling
Autorzy:: Yadav, Rohini
Tailor, Rajesh
Powiązania:: https://bibliotekanauki.pl/articles/1358426.pdf
Data publikacji:: 2020-03-23
Wydawca:: Główny Urząd Statystyczny
Tematy:: Study variable
auxiliary variable
stratified random sampling
dual to ratio estimator
bias and mean squared error
Opis:: This paper addresses the problem of an alternative approach to estimating the population mean of the study variable with the help of the auxiliary variable under stratified random sampling. The properties of the suggested estimator have been studied under large sample approximation. It has been demonstrated that the suggested estimator is more efficient than other considered estimators. To judge the merits of the proposed estimator, an empirical study has been carried out to support the present study.
Źródło:: Statistics in Transition new series; 2020, 21, 1; 1-12
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

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