Title of article :
Generalized Exponential Estimators of Finite Population Mean Using Transformed Auxiliary Variables
Author/Authors :
yasmeen, uzma national college of business administration and economics, Pakistan , noor ul amin, muhammad comsats institute of information technology, Pakistan , hanif, muhammad national college of business administration and economics, Pakistan
From page :
589
To page :
598
Abstract :
The new generalized exponential ratio cum dual to ratio type estimators are suggested using the transformation of Srivenkataramana (Biometrika 67:199–204, 1980) to the auxiliary variables for estimating the finite populationmean. The expressions formean square errors and biases of the proposed estimators have been derived up to first order of approximation.The conditions have been obtained for which the proposed estimators are more efficient than existing estimators. Empirical study is presented to evaluate the performance of proposed estimators.
Keywords :
Exponential type estimators , Population mean , Transformed auxiliary variables , Mean square error , Bias
Journal title :
International Journal Of Applied an‎d Computational Mathematics
Journal title :
International Journal Of Applied an‎d Computational Mathematics
Record number :
2603334
Link To Document :
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