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Formulation of logarithmic type estimators to estimate population mean in successive sampling in presence of random non response and measurement errors

Publication Type : Journal Article

Publisher : Communications in Statistics-Simulation and Computation

Source : Communications in Statistics-Simulation and Computation, 51:3, 2022

Url : https://www.tandfonline.com/doi/abs/10.1080/03610918.2019.1659364

Campus : Coimbatore

School : School of Physical Sciences

Department : Mathematics

Year : 2022

Abstract : This paper considers the problem of estimation of population mean of the study character in two-occasion successive sampling in presence of non-response and measurement error. A logarithmic type imputation technique has been developed to reduce the nuisance effect of non-response in sample surveys. Utilizing information available on a highly positively or highly negatively correlated auxiliary variable, a logarithmic type estimator is proposed and its properties, including bias and mean square error, are discussed. An optimal replacement policy has been derived, and effect of measurement errors on the mean square error of the estimator has been studied. Empirical studies have been carried out using both real and simulated data, and suitable recommendations have been put forward to the survey statisticians for applications in real life problems.

Cite this Research Publication : Singh, G. N., Bhattacharyya, D., & Bandyopadhyay, A. (2022). Formulation of logarithmic type estimators to estimate population mean in successive sampling in presence of random non response and measurement errors. Communications in Statistics-Simulation and Computation, 51:3, 901-923. DOI-https://doi.org/10.1080/03610918.2019.1659364 (SCI)

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