A fresh approach for intercession of nonresponse in multivariate longitudinal designs. Issue 18 (17th September 2017)

• Record Type: Journal Article
• Authors: Priyanka, Kumari; Mittal, Richa
• Is Part Of: Communications in statistics. Volume 46:Issue 18(2017)
• Page Start: 9303
• Page End: 9323
• Publication Date: 2017-09-17
• Subjects: Bias -- imputation -- mean squared error -- multi-auxiliary variables and optimum replacement strategies -- nonresponse -- population mean -- successive waves.; 62D05; Mathematical statistics -- Periodicals; Mathematics; Statistics; 519.2
• DOI: 10.1080/03610926.2016.1208240
• Languages: English
• ISSNs: 0361-0926

Abstract

ABSTRACT: The occurrence of nonresponse is very much plebeian in surveys, which troubles the analysis, and hence, an inappropriate inference is left out. To counterbalance the sour effects of the incompleteness, fresh imputation techniques have been proposed with the aid of multi-auxiliary variates for the estimation of population mean on successive waves. Properties of the proposed estimators have been elaborated, and they have been compared with the work of Priyanka et al. (2015). Detailed simulation study is carried out to substantiate the empirical and theoretical results. Several possible cases have been addressed in which nonresponse can occur.