Cogitation of Incompleteness in the midst of Imputation in Longitudinal Surveys for Population Mean

Encountering non-response is quite prone in sample surveys however smart be the design, which sours the analysis and hence the results. An effort has been made to exploit the non-response by using a completely fresh approach of imputation technique to estimate the population mean in two occasion successive sampling, utilizing completely known auxiliary information which is dynamic in nature and pronto over the occasions. The properties of proposed estimator have been analysed. Various cases in which non-response may creep are discussed. Extensive simulation algorithms have been designed and are applied to justify the theoretical results. Keywords— Imputation; Non-Response; Dynamic Auxiliary Information; Successive Sampling; Exponential Type Estimators; Mean Squared Error; Bias; Optimum Replacement Strategy.