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• W3126315327 abstract "To overcome the missing data in sample surveys, the imputation technique plays a significant role in estimating the population mean of the study variable. Clinical data, agricultural data and business data are well-suited examples for this. Keeping this in mind, we have suggested three exponential type imputation methods and the corresponding estimators by making the optimal use of an auxiliary variable. The properties of suggested estimators have been investigated under large sample approximations. The results obtained in this study have been compared with mean estimator, ratio estimator, Kadilar and Cingi (2008 Kadilar, C., and H. Cingi. 2008. Estimators for the population mean in the case of missing data. Communications in Statistics - Theory and Methods 37 (14):2226–36. doi:10.1080/03610920701855020.[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]) estimators, Diana and Perri (2010 Diana, G., and P. F. Perri. 2010. Improved estimators of the population mean for missing data. Communications in Statistics - Theory and Methods 39 (18):3245–51. doi:10.1080/03610920903009400.[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]) estimators, Al-Omari, Bouza, and Herrera (2013 Al-Omari, A. I., C. N. Bouza, and C. Herrera. 2013. Imputation methods of missing data for estimating the population mean using simple random sampling with known correlation coefficient. Quality & Quantity 47 (1):353–65. doi:10.1007/s11135-011-9522-1.[Crossref] , [Google Scholar]) estimators, and recently Bhushan and Pandey (2016 Bhushan, S., and A. P. Pandey. 2016. Optimal imputation of missing data for estimation of population mean. Journal of Statistics and Management Systems 19 (6):755–69. doi:10.1080/09720510.2016.1220099.[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]) estimators, Singh et al. (2016 Singh, G. N., S. Maurya, M. Khetan, and C. Kadilar. 2016. Some imputation methods for missing data in sample surveys. Hacettepe Journal of Mathematics and Statistics 45 (6):1865–80.[Web of Science ®] , [Google Scholar]) estimators and Singh, Pandey, and Sharma (2020 Singh, G. N., A. K. Pandey, and A. K. Sharma. 2020. Some improved and alternative imputation methods for finite population mean in presence of missing information. Communications in Statistics-Theory and Methods doi:10.1080/03610926.2020.1713375.[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]) estimators. It has been shown empirically that the suggested estimators perform effectively over all other estimators. A simulation study is also evaluated in the validation of the present work." @default.
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• W3126315327 date "2021-02-01" @default.
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• W3126315327 title "Some efficient estimators in case of missing data" @default.
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• W3126315327 doi "https://doi.org/10.1080/03610918.2021.1873373" @default.
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