Login New user?  
Journal of Statistics Applications & Probability Letters
An International Journal
               
 
 
 
 
 
 
 
 
 
 
 
 

Content
 

Volumes > Vol. 8 > No. 2

 
   

Optimum Exponential Ratio Type Estimators for Estimating the Population Mean

PP: 73-82
doi:10.18576/jsapl/080201
Author(s)
Sajad Hussain, Manish Sharma, M. Iqbal Jeelani Bhat,
Abstract
This paper proposes modified exponential ratio type estimators for the estimation of finite population mean in case of simple random sampling without replacement (SRSWOR) scheme. The expressions of Bias and mean square error (MSE) for the proposed estimators have been evaluated theoretically. The optimum values of the non zero constants Q and P for the proposed estimators have also been determined. The estimators proposed in this study were found to be more efficient than the mean per unit estimator, ratio type estimator of Cochran [1], exponential ratio type estimators of Bahl & Tuteja [4] and Singh et al. [7]. The performance of proposed estimators has also been evaluated empirically.

  Home   About us   News   Journals   Conferences Contact us Copyright naturalspublishing.com. All Rights Reserved