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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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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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gauge the uncertainty pertaining to the country risk aversion estimates by means of jackknife resampling and pooling. The …
Persistent link: https://www.econbiz.de/10011257268
A new jackknife method is introduced to remove the first order bias in unit root models. It is optimal in the sense … that it minimizes the variance among all the jackknife estimators of the form considered in Phillips and Yu (2005) and … Chambers and Kyriacou (2013) after the number of subsamples is selected. Simulations show that the new jackknife reduces the …
Persistent link: https://www.econbiz.de/10011208314
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 …
Persistent link: https://www.econbiz.de/10015053878