Jackknife resampling

Known as: Jackknife, Jackknife method, Jackknife (statistics) 
In statistics, the jackknife is a resampling technique especially useful for variance and bias estimation. The jackknife predates other common… (More)
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Topic mentions per year

Topic mentions per year

1977-2017
0204019772017

Papers overview

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2015
2015
During the past decades, numerous computational approaches have been introduced for inferring the GRNs. PCA-CMI approach achieves… (More)
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2014
2014
We study the variability of predictions made by bagged learners and random forests, and show how to estimate standard errors for… (More)
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Highly Cited
2010
Highly Cited
2008
Highly Cited
2008
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org… (More)
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Highly Cited
2007
Highly Cited
2007
Due to the importance of protein phosphorylation in cellular control, many researches are undertaken to predict the kinase… (More)
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Highly Cited
2005
Highly Cited
2005
PsN-Toolkit is a collection of statistical tools for pharmacometric data analysis using the non-linear mixed effect modeling… (More)
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Highly Cited
2005
Highly Cited
2005
MOTIVATION With protein sequences entering into databanks at an explosive pace, the early determination of the family or… (More)
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Highly Cited
2002
Highly Cited
2002
Although per capita rates of increase (r) have been calculated by population biologists for decades, the inability to estimate… (More)
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Highly Cited
1995
Highly Cited
1995
We provide several new sampling-based estimators of the number of distinct values of an attribute in a relation. We compare these… (More)
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Highly Cited
1989
Highly Cited
1989
  • Hans R. K
  • 1989
We extend the jackknife and the bootstrap method of estimating standard errors to the case where the observations form a general… (More)
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