A GENERALIZED CLASS OF JACK-KNIFED ESTIMATOR FOR
PRODUCT OF POPULATION MEANS USING TWO AUXILIARY
VARIABLES UNDER MEASUREMENT ERRORS
In this paper, we have suggested a generalized
estimator for the estimation of product of population means in
the presence of measurement errors. The expression of bias
and mean square error are derived under measurement errors
model. Further, we have also proposed a jack-knife version of
the estimators based on Quenouille’s method in presence of measurement errors. Finally, some concluding remarks are
made clearly demonstrating the importance of the proposed
Measurement error, Jack-knife estimator, Unbiasedness, Mean square error.
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