:: Volume 10, Issue 2 (2-2017) ::
JSS 2017, 10(2): 281-297 Back to browse issues page
The Effect of Weight Function on the Estimation of Regression Parameters under Weighted Sampling
Mahtab Tarhani, Mohammad Reaz Alavi *
Abstract:   (7444 Views)

In weighted sampling as a generalization of random sampling, every observation, y, is recorded with probably proportional to a non-negative function of y. In this paper, the normal regression model is investigated under the weighted sampling for a common weight function. Parameters of the model are estimated for known and unknown weight parameters. Using simulation, efficiency of estimators is studied when they have not closed forms. As an application, the data of number of visited  patients by specialist doctors in Social Security Organization of Ahvaz in Iran (SSOAI) are analyzed.

Keywords: Weighted sampling, Weight function, Regression coefficient, Estimation
Full-Text [PDF 524 kb]   (2165 Downloads)    
Type of Study: Research | Subject: Sampling
Received: 2014/08/4 | Accepted: 2015/11/28 | Published: 2017/03/12

XML   Persian Abstract   Print

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 10, Issue 2 (2-2017) Back to browse issues page