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Erschienen in:

13.06.2024

Efficient and alternative approaches for imputing missing data to estimate population mean

verfasst von: Awadhesh K. Pandey, G. N. Singh, D. Bhattacharyya, Pawan Kumar Singh

Erschienen in: Quality & Quantity | Ausgabe 6/2024

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Abstract

Missing data is a routine occurrence in surveys for collecting data. The manuscript presents two novel classes of imputation techniques based on the logarithmic function. Each imputation technique leads to a novel class of point estimator which can be utilized to provide estimates of population mean. Expressions for their bias and mean square errors have been derived. Data has been collected from literature, as well as simulated from three probability distributions to illustrate the performance of the proposed class of estimators when compared with other well-known estimators. Finally, the findings are showcased, and suggestions are put forth for potential real-world implementations.

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Metadaten
Titel
Efficient and alternative approaches for imputing missing data to estimate population mean
verfasst von
Awadhesh K. Pandey
G. N. Singh
D. Bhattacharyya
Pawan Kumar Singh
Publikationsdatum
13.06.2024
Verlag
Springer Netherlands
Erschienen in
Quality & Quantity / Ausgabe 6/2024
Print ISSN: 0033-5177
Elektronische ISSN: 1573-7845
DOI
https://doi.org/10.1007/s11135-024-01914-w