An Exponential-Cum-Sine-Type Hybrid Imputation Technique for Missing Data

In this study, a new exponential-cum-sine-type hybrid imputation technique has been proposed to handle missing data when conducting surveys. The properties of the corresponding point estimator for population mean have been examined in terms of bias and mean square errors. An extensive simulation stu...

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Detalles Bibliográficos
Autores principales: Bhattacharyya, D., Singh, G. N., Jawa, Taghreed M., Sayed-Ahmed, Neveen, Pandey, Awadhesh K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8664504/
https://www.ncbi.nlm.nih.gov/pubmed/34899894
http://dx.doi.org/10.1155/2021/4845569

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8664504/
https://www.ncbi.nlm.nih.gov/pubmed/34899894
http://dx.doi.org/10.1155/2021/4845569

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