A fresh approach for intercession of nonresponse in multivariate longitudinal designs

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.

KEYWORDS:

• Bias
• imputation
• mean squared error
• multi-auxiliary variables and optimum replacement strategies
• nonresponse
• population mean
• successive waves.

MATHEMATICS SUBJECT:

• 62D05

Funding

Authors are thankful to UGC, New Delhi, India for providing the financial assistance to carry out the present work. Authors also acknowledge the free access of the data from Statistical Abstracts of the United States that is available on internet.