Article

IMPROVED EXPONENTIAL ESTIMATOR IN STRATIFIED RANDOM SAMPLING

Pakistan Journal of Statistics and Operation Research 01/2010;
Source: DOAJ

ABSTRACT In this article we have considered the problem of estimating the population mean in the stratified random sampling using the information of an auxiliary variable x which is correlated with y and suggested improved exponential ratio estimators in the stratified random sampling. The mean square error (MSE) equations for the proposed estimators have been derived and it is shown that the proposed estimators under optimum condition performs better than estimators suggested by Singh et al. (2008). Theoretical and empirical findings are encouraging and support the soundness of the proposed estimators for mean estimation.

1 Bookmark
 · 
379 Views
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: In this article, we suggest a new ratio estimator in stratified random sampling based on the Prasad (1989) estimator. Theoretically, we obtain the mean square error (MSE) for this estimator and compare it with the MSE of traditional combined ratio estimate. By this comparison, we demonstrate that proposed estimator is more efficient than combined ratio estimate in all conditions. In addition, this theoretical result is supported by a numerical example.
    Communication in Statistics- Theory and Methods 01/2005; 34:597-602. · 0.30 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Kadilar and Cingi (2003) have introduced a family of estimators using auxiliary information in stratified random sampling. In this paper, we propose the ratio estimator for the estimation of population mean in the stratified random sampling by using the estimators in Bahl and Tuteja (1991) and Kadilar and Cingi (2003). Obtaining the mean square error (MSE) equations of the proposed estimators, we find theoretical conditions that the proposed estimators are more efficient than the other estimators. These theoretical findings are supported by a numerical example.
    01/2013;
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: This paper considers some ratio-type estimators and their properties are studied in stratified random sampling. The results are supported by an application with original data.
    Biometrical Journal 02/2003; 45(2):218 - 225. · 1.15 Impact Factor

Full-text (2 Sources)

Download
139 Downloads
Available from
May 15, 2014