Author : Ahmed audu, ishaq olatunji olawoyin, yahaya zakari, daniel dauda wisdom, jamiu muili, abdulaziz mohammed ndatsu
Keyword : Imputation, non-response, estimator, population mean, mean squared error
Subject : Statistics
Article Type : Original article (research)
DOI : http://dx.doi.org/10.5455/sf.71109
Article File : Full Text PDF
Abstract : Experiments, for example, medical and social science surveys, conducted by human are often characterized by the problem of non-response of missing observations. In this study, an alternative imputation method to Singh and Horn and Singh et al. compromised imputation methods has been suggested due to decrease in their efficiency when the value of unknown weights tend to unity. The properties (bias and mean squared error) of the proposed estimators were derived up to first-order approximation using Taylor series approach. Conditions for which the proposed estimator more efficient than other estimators considered in the study were also established. Numerical illustration was conducted and the results revealed that the proposed estimator is more efficient.
Article by : Dr Ahmed Audu
Article add date : 2020-11-02
How to cite : Ahmed audu, ishaq olatunji olawoyin, yahaya zakari, daniel dauda wisdom, jamiu muili, abdulaziz mohammed ndatsu. (2020-November-02). Regression-cum-exponential ratio imputation class of estimators of population mean in the presence of non-response. retrieved from https://openacessjournal.com/abstract/339