  This paper presents a family of dual to ratio-cum-product estimators for the
finite population mean. Under simple random sampling without replacement
(SRSWOR) scheme, expressions of the bias and mean-squared error (MSE) up to the
first order of approximation are derived. We show that the proposed family is
more efficient than usual unbiased estimator, ratio estimator, product
estimator, Singh estimator (1967), Srivenkataramana (1980) and Bandyopadhyaya
estimator (1980) and Singh et.al. (2005) estimator. An empirical study is
carried out to illustrate the performance of the constructed estimator over
others.
