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Revista Colombiana de Estadística
versión impresa ISSN 0120-1751
Rev.Colomb.Estad. vol.46 no.1 Bogotá ene./jun. 2023 Epub 18-Ene-2023
https://doi.org/10.15446/rce.v46nl.102308
Original articles of research
Imputation of Missing Data Through Product Type Exponential Methods in Sampling Theory
Imputación de datos faltantes a través de métodos exponenciales de tipo de producto en la teoría del muestreo
1 Department of Basic and Applied Science, National Institute of Technology Arunachal Pradesh, Jote, India
Some efficient product type exponential imputation methods are pro-posed 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.
Key words: Auxiliary variable; Product type estimator; Imputation
En este artículo se proponen algunos métodos eficientes de imputación exponencial de tipo de producto para abordar el problema de los valores incompletos en la teoría del muestreo. Para investigar la efectividad de los métodos exponenciales propuestos, se comparan los comportamientos de los estimadores considerados en dos escenarios: con y sin falta de respuesta. Los estudios de simulación muestran que los estimadores resultantes propuestos superan a otros estimadores existentes en esta literatura.
Palabras clave: Variable auxiliar; Estimador de tipo de producto; Imputación
Acknowledgements
The authors want to express their sincere thanks to the anonymous referees and editors for their rigorous review and comments, which significantly improved our manuscript.
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Received: April 2022; Accepted: December 2022
This is an open-access article distributed under the terms of the Creative Commons Attribution License
