An improved estimator using two auxiliary attributes

In the present study, we propose two new estimators for population mean using Kadilar and Cingi (2005) [2] and Lu et al. (2010) [9] estimators in the case when the information is available in form of attributes. Expressions for the MSE’s of the proposed estimator are derived up to the first degree o...

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Bibliographic Details
Published inApplied mathematics and computation Vol. 219; no. 23; pp. 10983 - 10986
Main Authors Malik, Sachin, Singh, Rajesh
Format Journal Article
LanguageEnglish
Published Elsevier Inc 01.08.2013
Subjects
Approximation
Auxiliary attribute
Computation
Efficiency
Estimators
Mathematical analysis
Mathematical models
Phi correlation
Point bi-serial correlation
Regression
Simple random sampling
Auxiliary attribute
Simple random sampling
Efficiency
Point bi-serial correlation
Phi correlation
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Summary:In the present study, we propose two new estimators for population mean using Kadilar and Cingi (2005) [2] and Lu et al. (2010) [9] estimators in the case when the information is available in form of attributes. Expressions for the MSE’s of the proposed estimator are derived up to the first degree of approximation. The theoretical conditions have also been verified by a numerical example. It has been shown that the proposed estimators are more efficient than usual regression estimators.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0096-3003
1873-5649
DOI:10.1016/j.amc.2013.05.014