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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Suitable recommendations have been put forward for the survey practitioners
📌 3 Key Takeaways
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Objective & Hypothesis:The present work suggests some imputation methods to deal with the problems of non-response in sample surveys.
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Key Findings & Data:The imputation methods presented in this work lead to the precise estimation strategies of population mean.
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Conclusion & Impact:Suitable recommendations have been put forward for the survey practitioners
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Imputation · non-response · auxiliary information
Abstract
The present work suggests some imputation methods to deal with the problems of non-response in sample surveys. The imputation methods presented in this work lead to the precise estimation strategies of population mean. Empirical studies are carried out with the help of data borrowed from natural populations to show the superiorities of the suggested imputation methods over usual mean, ratio and regression methods of imputation in terms of the mean square error criterions. Suitable recommendations have been put forward for the survey practitioners
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Cite This Article
KADILAR, C., MAURYA, S., KHETAN, M., SINGH, G. N. (2022). Some imputation methods for missing data in sample surveys. Hacettepe Journal of Mathematics and Statistics, Cilt: 45 - Sayı: 6, 1865–1880. https://ajindex.com/articles/530069