Generalized Class of Exponential Chain Ratio-Cum-Chain Product Type Estimator for Finite Population Mean under Double Sampling Scheme in Presence of Non-Response

Yater Tato

Authors

Yater Tato

exponential, chain, estimator, mean, bias, mean square error

Abstract

In this paper, a generalized class of exponential chain ratio-cum-chain product type estimator has been developed for estimating finite population mean and its properties have been studied in presence of non-response. The expressions for the bias and mean square error of the proposed estimator have been obtained in two different cases of non-response. The theoretical and empirical studies have been given to demonstrate the efficiency of the proposed estimator with respect to the other relevant estimators under consideration.

Downloads

How to Cite

Generalized Class of Exponential Chain Ratio-Cum-Chain Product Type Estimator for Finite Population Mean under Double Sampling Scheme in Presence of Non-Response. (2015). Global Journal of Science Frontier Research, 15(32), 23-35. https://journalofscience.org/index.php/GJSFR/article/view/

Download Citation

References

A. Bowely (1926) Measurements of precision attained in sampling. 22, 1-62.

B. Khare, R. Sinha (2009) ON CLASS OF ESTIMATORS FOR POPULATION MEAN USING MULTI-AUXILIARY CHARACTERS IN THE PRESENCE OF NON-RESPONSE. 10(1), 3-14. https://doi.org/10.59170/stattrans-2009-001

B. Khare, U. Srivastava, K. Kumar (2012) Chain ratio estimator for the population mean in the presence of non-response. 13(3), 495-518. https://doi.org/10.59170/stattrans-2012-036

B. Khare, S. Srivastava (1993) Estimation of population mean using auxiliary character in presence of non-response. 16(3), 111-114.

B. Khare, S. Srivastava (1995) Study of conventional and alternative two phase sampling ratio, product and regression estimators in presence of non -response. Proceedings-National Academy Science, India. 65, 195-204.