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Resampling (statistics)

Known as: Bootstrap methods, Jackknife estimator, Permutation tests 
In statistics, resampling is any of a variety of methods for doing one of the following: 1. * Estimating the precision of sample statistics (medians… 
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Papers overview

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Highly Cited
2015
Highly Cited
2015
The most widely used task fMRI analyses use parametric methods that depend on a variety of assumptions. While individual aspects… 
Highly Cited
2011
Highly Cited
2011
Recently, sparse representation has been applied to visual tracking to find the target with the minimum reconstruction error from… 
Highly Cited
2009
Highly Cited
2009
This paper introduces an on-line particle-filtering (PF)-based framework for fault diagnosis and failure prognosis in non-linear… 
Review
2003
Review
2003
Watermarking has become a technology of choice for a broad range of multimedia copyright protection applications. Watermarks have… 
Highly Cited
2001
Highly Cited
2001
We analysed patterns of animal dispersal, vicariance and diversification in the Holarctic based on complete phylogenies of 57… 
Highly Cited
2000
Highly Cited
2000
Since its development in the early 1980s, the mass-balance approach incorporated in the Ecopath software has been widely used for… 
Highly Cited
2000
Highly Cited
2000
We used two independent methods to determine the dynamics of soil carbon and nitrogen following abandonment of agricultural… 
Highly Cited
1999
Highly Cited
1999
Numerical analysis is the study of computation and its accuracy, stability and often its implementation on a computer. This book… 
Highly Cited
1998
Highly Cited
1998
The bootstrap is an attractive tool for assessing the accuracy of estimators and testing hypothesis for parameters where… 
Highly Cited
1995
Highly Cited
1995
Julian L. Simon, Resampling: The New Statistics, Arlington, VA: Resampling Stats. Inc., 1992, pp. 261. Familiarity with…