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Research Articles

A new improved difference-cum-exponential ratio type estimator in systematic sampling two auxiliary variables

Authors:

J Shabbir ,

Quaid-i-Azam University, Islamabad, Pakistan, PK
About J
Department of Statistics
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S Masood,

PMAS-Arid Agriculture University Rawalpindi, Pakistan, PK
About S
Department of Mathematics and Statistics
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S Gupta

The University of North Carolina at Greensboro, Greensboro, USA, US
About S
Department of Mathematics and Statistics
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Abstract

A difference-cum-exponential ratio type estimator was proposed for estimating the finite population mean using two auxiliary variables under systematic sampling. Expressions for the biases and mean square errors (MSEs) were derived up to first order of approximation. It was observed that the proposed estimator is more efficient than the usual sample mean estimator, traditional ratio estimator, exponential-ratio estimator and many other recently proposed difference type estimators in terms of MSEs. Four datasets were used for efficiency comparisons.


How to Cite: Shabbir, J., Masood, S. and Gupta, S., 2020. A new improved difference-cum-exponential ratio type estimator in systematic sampling two auxiliary variables. Journal of the National Science Foundation of Sri Lanka, 48(1), pp.27–36. DOI: http://doi.org/10.4038/jnsfsr.v48i1.9931
Published on 28 Apr 2020.
Peer Reviewed

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