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On Selection Procedures for Normal Populations with Common known Coefficient of Variation with an Application to Multivariate Normal Populations.

机译:具有公知已知变异系数的正常种群选择程序及其在多元正态种群中的应用。

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There are instances in the biological and physical sciences in which a linear relationship between the sample means and the sample standard deviations seems to exist. It is not unreasonable in such cases to assume that the population standard deviation sigma is a multiple of the population mean Theta, i.e. sigma = (sq.rt.b) Theta, b > 0, and Theta also is assumed to be positive. The purpose of this paper is to investigate some problems of selection when the k underlying populations are normal with unknown positive means Theta sub 1,..., Theta sub k and a common known coefficient of variation sq.rt.b. Three selection rules are investigated, and some comparisons are made among these rules. (Author)

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