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repeated replication, the jackknife, and the bootstrap. Balanced repeated replication and the jackknife are implemented in the …
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Jackknife y Boostrap. …
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The yield of products in the dry milling industry is largely determined by the physical properties of the corn kernel. The main objective of this paper is to investigate several statistical models of dry milling yield prediction based on physical characteristics of corn. Data consisting of one...
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estimate of the bias is asymptotically linear. It is also shown that bootstrap, jackknife, and analytical bias estimates are … jackknife bias corrections. In contrast, bias corrections that do not estimate the bias at the parametric rate, such as the … split-sample jackknife, result in larger higher-order variances in the i.i.d. setting we focus on. For both a cross …
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study investigates the performance of the jackknife estimator of FGLS(Parks) using Monte Carlo experimentation. We find that …
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measure is also derived using results from U-statistics, and an easy-to-implement jackknife-based variance estimation …
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