Author:
Yadav S. K.,Dixit M. K.,Dungana H. N.,Mishra S. S.
Abstract
In this paper, we consider the improved estimation of average production of peppermint at block level of Barabanki district of Uttar Pradesh State (India). We suggest certain estimators for population-mean. Here, population refers to production population as study variable and auxiliary-variable refers to Area of field. We study the sampling properties naming bias and MSE of estimators, which are presently proposed by us in the paper. We compare our proposed estimators with other ones existing in literature. For the support of the theoretical findings, we carry out a numerical study for the natural population on primary data collected from Banikodar Block of Barabanki District situated in Uttar Pradesh State.
Publisher
International Journal of Mathematical, Engineering and Management Sciences plus Mangey Ram
Subject
General Engineering,General Business, Management and Accounting,General Mathematics,General Computer Science
Reference35 articles.
1. Abid, M., Abbas, N. Sherwani, R.A.K., & Nazir, H. Z. (2016). Improved ratio estimators for the population mean using non-conventional measure of dispersion. Pakistan Journal of Statistics and Operations Research, 12(2), 353-367.
2. Al-Omari, A.I., Jemain, A.A., & Ibrahim, K. (2009). New ratio estimators of the mean using simple random sampling and ranked set sampling methods. Investigación Operacional, 30(2), 97-108.
3. Bahl, S., & Tuteja, R.K. (1991). Ratio and product type exponential estimators. Journal of Information and Optimization Sciences, 12(1), 159–164.
4. Cekim, H.O., & Cingi, H. (2017). Some estimator types for population mean using linear transformation with the help of the minimum and maximum values of the auxiliary variable. Hacettepe Journal of Mathemaiıcs and Statistics, 46(4), 685-694.
5. Cekim, H.O., & Kadilar, C. (2018). Generalized family of estimators via two auxiliary variables for population variance. Journal of Reliability and Statistical Studies, 11(1), 67-81.
Cited by
10 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献