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- W1994685166 abstract "This paper deals with the problem of estimating the mean and the standard deviation of the logistic distribution by using ordered observations in small samples. Linear unbiased estimators with minimum variance based on ordered observations are constructed both for the complete and the censored samples for sample sizes n = 2, 5, 10, 15, 20 and 25. The censored sample case consists of the n – r 1 – r 2 observations, where r 1 observations are missing in the beginning and r 2 observations are missing at the end. The efficiencies of these estimators relative to the moment estimator and the Cramer-Rao bound are evaluated and graphed. A table of variances and covariances of all order statistics for n = 10(5)25 is also given." @default.
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- W1994685166 date "1967-02-01" @default.
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- W1994685166 title "Best Linear Unbiased Estimators of the Parameters of the Logistic Distribution Using Order Statistics" @default.
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- W1994685166 doi "https://doi.org/10.1080/00401706.1967.10490440" @default.
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