Imputation of Missing Data Through Product Type Exponential Methods in Sampling Theory
Shakti Prasad, Vinay Kumar Yadav
Abstract
Some efficient product type exponential imputation methods are proposed in this article to tackle the problem of incomplete values in sampling theory. To investigate the effectiveness of proposed exponential methods, the behaviours of the considered estimators are compared in two scenarios: with and without nonresponse. The simulation studies show that the proposed resultant estimators outperform other existing estimators in this literature.
Topics & Concepts
EstimatorImputation (statistics)Missing dataExponential typeExponential functionStatisticsMathematicsComputer scienceSampling (signal processing)EconometricsMathematical analysisFilter (signal processing)Computer visionSurvey Sampling and Estimation TechniquesStatistical Methods and Bayesian InferenceBayesian Methods and Mixture Models