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• W32037431 abstract "SUMMARY Whether to jackknife a parameter estimate or some function of it has in the past relied on recommendations based on folklore rather than statistical analyses. This paper puts the jackknifed estimator into the context of finding a least squares estimator from a model involving a location parameter with additive pseudo errors. Obtaining and interpreting confidence intervals from the partitioning of the total sum of squares into residual sum of squares, plus a sum of squares due to a hypothesized value of the parameter, requires the error variance to be constant. This in turn can equally be interpreted as requiring the variance of the original estimator to be constant. Therefore, using this criterion of jackknifing pivotal quantities, it is possible in principle to find a prejackknifing transformation for any general problem." @default.
• W32037431 created "2016-06-24" @default.
• W32037431 creator A5025099112 @default.
• W32037431 date "1981-01-01" @default.
• W32037431 modified "2023-09-23" @default.
• W32037431 title "Transformations and the Jackknife" @default.
• W32037431 cites W1965902853 @default.
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• W32037431 doi "https://doi.org/10.1111/j.2517-6161.1981.tb01168.x" @default.
• W32037431 hasPublicationYear "1981" @default.
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