Temat: Bias and Mean squared error - Katalog OPAC zbiorów

Skocz do pozycji: 1.

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

Skocz do pozycji: 2.

Tytuł:: Modified Estimators of Population Variance in Presence of Auxiliary Information
Autorzy:: Tailor, Rajesh
Sharma, Balkishan
Powiązania:: https://bibliotekanauki.pl/articles/465891.pdf
Data publikacji:: 2012
Wydawca:: Główny Urząd Statystyczny
Tematy:: Finite population variance
Bias
Mean squared error Auxiliary information and Efficiency
Opis:: This paper proposes estimator of population variance using information on known parameters of auxiliary variable. The variances of the proposed estimators are obtained. It has been shown that using modified sampling fraction the proposed estimators are more efficient than the usual unbiased estimator of population variance and usual ratio estimator for population variance under certain given conditions. Empirical study is also carried out to demonstrate the merits of the proposed estimators of population variance over other estimators considered in this paper.
Źródło:: Statistics in Transition new series; 2012, 13, 1; 37-46
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

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