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- W2894903239 abstract "Revisiting Stein (1945 Stein, C. (1945). A Two Sample Test for a Linear Hypothesis Whose Power Is Independent of the Variance, Annals of Mathematical Statistics 16: 243–258.[Crossref] , [Google Scholar], 1949 Stein, C. (1949). Some Problems in Sequential Estimation (Abstract), Econometrica 17: 77–78. [Google Scholar]) as well as Mukhopadhyay and Duggan (1997 Mukhopadhyay, N. and Duggan, W. T. (1997). Can a Two-Stage Procedure Enjoy Second-Order Properties? Sankhyā, Series A 59: 435–448. [Google Scholar]), we have proposed new two-stage procedures under both minimum risk point estimation and fixed-width confidence interval configurations for a normal mean μ when a lower bound of variance is known to us. New unbiased estimators based on sample standard deviation, Gini’s mean difference (GMD), and mean absolute deviance (MAD) are constructed to define the final sample sizes. The new procedures enjoy both asymptotic first-order and second-order properties, followed by simulated performances. Real data illustrations of the marigold data are also included." @default.
- W2894903239 created "2018-10-12" @default.
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- W2894903239 date "2018-04-03" @default.
- W2894903239 modified "2023-10-17" @default.
- W2894903239 title "Two-stage estimation for a normal mean having a known lower bound of variance with final sample size defined via Gini’s mean difference and mean absolute deviation" @default.
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- W2894903239 doi "https://doi.org/10.1080/07474946.2018.1466532" @default.
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