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- W2525565242 abstract "ABSTRACTIn this study, an attempt has been made to improve the sampling strategy incorporating spatial dependency at estimation stage considering usual aerial sampling scheme, such as simple random sampling, when the underlying population is finite and spatial in nature. Using the distances between spatial units, an improved method of estimation, viz. spatial estimation procedure, has been proposed for the estimation of finite population mean. Further, rescaled spatial bootstrap (RSB) methods have been proposed for approximately unbiased estimation of variance of the proposed spatial estimator (SE). The properties of the proposed SE and its corresponding RSB methods were studied empirically through simulation." @default.
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- W2525565242 date "2016-09-30" @default.
- W2525565242 modified "2023-09-24" @default.
- W2525565242 title "Spatial estimation and rescaled spatial bootstrap approach for finite population" @default.
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- W2525565242 doi "https://doi.org/10.1080/03610926.2014.995820" @default.
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