Effective Rotation Patterns Under Non Response in Two-Occasion Successive Sampling

Abstract

This article intends to develop some effective rotation patterns with the aid of attractive imputation methods when the problems of non response occur in two-occasion successive sampling. Utilizing the information on p (p ⩾ 1) auxiliary variables regression methods of imputation have been considered and subsequently multiple linear regression type estimators are proposed to estimate the current population mean in two-occasion successive sampling. Proposed estimators are compared with the estimator for same situations but in the absence of non-response. Optimum replacement strategies of the respective estimators have been discussed and results are interpreted with the help of empirical studies. Conclusions and suitable recommendations are made.

Keywords:

• Auxiliary variable
• Non-response
• Imputation
• Successive sampling
• Bias
• Mean square error
• Optimum replacement policy.

Mathematics Subject Classification:

• 62D05.