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

Content
 

Volumes > Vol. 9 > No. 1

 
   

A New Exponential Ratio Type Estimator for the Population Means Using Information on Auxiliary Attribute

PP: 31-42
doi:10.18576/jsapl/090104
Author(s)
Khalid Ul Islam Rather, M. Iqbal Jeelani, S. E. H. Rizvi, Manish Sharma,
Abstract
This manuscript provides new exponential ratio type estimators in simple random sampling and double sampling techniques by using supplementary information in the form of an attribute. It is revealed that suggested exponential ratio type estimators are more efficient than the existing estimators proposed by Bahl and Tuteja (1991), Singh, Chauhan, and Sarwan (2009), and Yadav (2013). An empirical study is included for illustration; it is also observed that the proposed estimators are enhanced than existing estimators.

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