Nonparametric regression estimators in dual frame surveys. Issue 3 (4th March 2021)

• Record Type: Journal Article
• Authors: Lu, Yan; Fu, Ye; Zhang, Guoyi
• Is Part Of: Communications in statistics. Volume 50:Issue 3(2021)
• Page Start: 854
• Page End: 864
• Publication Date: 2021-03-04
• Subjects: Cross validation -- Dual frame surveys -- Nonparametric regression estimator -- Prediction error -- Simulations; Mathematical statistics -- Periodicals; Mathematical statistics -- Data processing -- Periodicals; Digital computer simulation -- Periodicals; 519.5
• DOI: 10.1080/03610918.2019.1568474
• Languages: English
• ISSNs: 0361-0918

Abstract

Abstract: Dual frame surveys, in which independent samples are selected from two frames to decrease survey costs or to improve coverage, can present challenges for regression estimation because of complex designs and unknown degree of overlap. In this research, we developed three nonparametric regression estimators in dual frame surveys and investigated their asymptotic properties. Simulation results show that all the proposed methods work well.