Abstract
In this paper we consider a two parameter ratio-product-ratio estimator for estimating population mean in case of post stratification following the estimator due to Chami et al (2012). The bias and mean squared error of proposed estimator are obtained to the first degree of approximation. We derive conditions under which the proposed estimator has smaller mean squared error than the sample mean , ratio estimator and product estimators . Empirical studies gives insight on the magnitude of the efficiency of the estimator developed.
Publisher
Pakistan Journal of Statistics and Operation Research
Subject
Management Science and Operations Research,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability
Reference9 articles.
1. Chami, P. S., Sing, B. and Thomas, D. (2012): A Two Parameter Ratio-Product-Ratio Estimator Using Auxiliary Information. ISRN Probability and Statistics, 2012.
2. Chouhan, S. (2012): Improved Estimation of Parameters Using Auxiliary Information in Sample Surveys. Ph.D. Thesis, Vikram University, Ujjain, M.P., India.
3. Holt, D., Smith, T. M. F. (1979): Post Stratification: Journal of Royal Statistical Society A 142, 33-46.
4. Ige, A. F., Tripathi, T. P. (1989): Estimation of Population Mean Using Post Stratification and Auxiliary Information. Abacus 18(2), 265-276.
5. Singh H. P. and Espejo, R. M. (2003): On Linear Regression and Ratio Product Estimation of A Finite Population Mean. The Statistician, 52(1), 59-67.
Cited by
1 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