A Class of Estimator for Population Mean Under SRS | Zendy

Syed Abdul Rehman | Zendy; Mohammad Asif | Zendy

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A Class of Estimator for Population Mean Under SRS

Author(s) -

Syed Abdul Rehman,

Mohammad Asif

Publication year - 2020

Publication title -

statistics computing and interdisciplinary research

Language(s) - English

Resource type - Journals

eISSN - 2788-7464

pISSN - 2707-7101

DOI - 10.52700/scir.v2i1.7

Subject(s) - estimator , mean squared error , population mean , mathematics , class (philosophy) , statistics , minimum mean square error , degree (music) , computer science , artificial intelligence , physics , acoustics

In this paper we propose a class of estimators for the estimation of finitepopulation mean using the auxiliary information when SRS scheme is used. Theexpressions for the Bias and mean square error (MSE) of the existing andsuggested class of estimators are derived up to first degree of approximation andthe efficiency comparison of suggested class of estimators is made with otherexisting estimators, using both theoretically and numerically based on realpopulation sets.

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