Generalized Ratio-Cum-Product Estimator for Estimating Population Mean in Systematic Sampling

Rafia Jan, Asra Nazir, Showkat Maqbool, T. R. Jan
2018 International Journal of Scientific Research in Mathematical and Statistical Sciences  
This manuscript suggests a generalized class of ratio-cum-product estimator in systematic sampling. The Mean Square Error (MSE) of the suggested class and mathematical conditions have been also derived to prove the efficiency of proposed estimators. The results are justified numerically. Keywords Auxiliary variate; Bias; Efficiency; Mean Squared Error. , Int. J. Sci. VI. CONCLUSION We suggested a generalised ratio-cum-product estimator in systematic sampling and its properties are derived. We
more » ... s are derived. We have also evaluated the performance of the estimator by using the real life data set. From table 3 it is observed that the estimator is better than the existing estimators, thus it is preferable to use in practical surveys.
doi:10.26438/ijsrmss/v5i4.350353 fatcat:wgvbmmdy65atdavnxaxtoxba2a