- Author
- Subzar Mir (Division of Agricultural Statistics, SKUAST-Kashmir (190025), India), Maqbool S. (Division of Agricultural Statistics, SKUAST-Kashmir (190025), India), Raja T. A. (Division of Agricultural Statistics, SKUAST-Kashmir (190025), India), Sharma Prayas (Department of Decision Sciences, University of Petroleum and Engineering Studies, Dehradun)
- Title
- A New Ratio Estimator: an Alternative to Regression Estimator in Survey Sampling using Auxiliary Information
- Source
- Statistics in Transition, 2019, vol. 20, nr 4, s. 181-189, tab., bibliogr. s. 189
- Keyword
- Estymatory, Badania reprezentacyjne
Estimators, Sampling survey - Note
- summ.
- Abstract
- The most dominant problem in the survey sampling is to obtain the better ratio estimators for the estimation of population mean or population variance. Estimation theory is enhanced by using the auxiliary information in order to improve on designs, precision and efficiency of estimators. A modified class of ratio estimator is suggested in this paper to estimate the population mean. Expressions for the bias and the mean square error of the proposed estimators are obtained. Both analytical and numerical comparison has shown the suggested estimator to be more efficient than some existing ones. The bias of the suggested estimator is also found to be negligible for the population under consideration, indicating that the estimator is as good the regression estimator and better than the other estimators under consideration. (original abstract)
- Accessibility
- The Main Library of the Cracow University of Economics
The Library of Warsaw School of Economics
The Library of University of Economics in Katowice - Full text
- Show
- Bibliography
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- SINGH, D., CHAUDHARY, F. S., (1986). Theory and Analysis of Sample Survey Designs, New Age International Publisher.
- SUBRAMANI, J., KUMARAPANDIYAN, G., (2012). Estimation of population mean using known median and co-efficient of skewness. American Journal of Mathematics and Statistics, 2(5), pp. 101-107.
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- PERRI, P. F., (2005). Combining two Auxiliary Variables in Ratio-cum-product type Estimators. Proceedings of Italian Statistical Society. Intermediate meeting on Statistics and Environment, Messina, 21-23 September, pp. 193-196.
- RAJESH, T., RAJESH, P., JONG-MIND, K., (2011). Ratio-cum-product Estimators of Population mean using known Parameters of Auxiliary Variables. Communications of the Korean Statistical Society, 18(2), pp. 155-164.
- SHARMA, P., SINGH, R., (2014). Improved Ratio Type Estimators Using Two Auxiliary Variables under Second Order Approximation, Mathematical Journal of Interdisciplinary Sciences, Vol. 2, No. 2, pp. 193-204.
- Cited by
- ISSN
- 1234-7655
- Language
- eng
- URI / DOI
- http://dx.doi.org/10.21307/stattrans-2019-041