Autor: Yadav, Subhash Kumar - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: New linear model for optimal cluster size in cluster sampling
Autorzy:: Shukla, Alok Kumar
Yadav, Subhash Kumar
Powiązania:: https://bibliotekanauki.pl/articles/1363544.pdf
Data publikacji:: 2020-06-05
Wydawca:: Główny Urząd Statystyczny
Tematy:: Non-linear models
optimum cluster size
four-parameter model
variance function
Opis:: In this paper, a nonlinear model is proposed for improving the relationship between the size of a cluster and the variance within the cluster. This model describes the most appropriate functional relation between the within-cluster variance and the cluster size. Through this model, we can obtain the optimum size of a cluster and an estimate of the variance between clusters. The proposed model leads to further improvement in the estimation of the optimum size of a cluster, and the formula for the determination of optimum cluster size leads to explicit solution of models.
Źródło:: Statistics in Transition new series; 2020, 21, 2; 189-200
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: A Class of Regression Type Estimators in Survey Sampling
Autorzy:: Misra, Govind Charan
Yadav, Subhash Kumar
Shukla, Alok Kumar
Powiązania:: https://bibliotekanauki.pl/articles/465942.pdf
Data publikacji:: 2011
Wydawca:: Główny Urząd Statystyczny
Tematy:: Auxiliary variable
Mean Squared Error
Ratio estimator
Regression type estimators
Opis:: A class of linear regression models has been proposed for the estimation of population mean and total when information regarding auxiliary variate is available in survey sampling using regression method of estimation by introducing a new auxiliary variable z, which may also be a function of the auxiliary variable x. The proposed model leads to reduction in mean squared error as compared to ordinary regression method of estimation. The improvement has been demonstrated over ordinary regression estimator and also on ratio estimator with the help of an empirical example.
Źródło:: Statistics in Transition new series; 2011, 12, 3; 579-586
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

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