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Bootstrapping (statistics) - Wikipedia, the free encyclopedia
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Resampling (statistics) - Wikipedia, the free encyclopedia
In statistics, resampling is any of a variety of methods for doing one of the following: • Estimating the precision of sample statistics (medians, variances, percentiles) by using subsets of availab...
en.wikipedia.org/wiki/Resampling_(statistics) |
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Bootstrap Methods and Their Application is published by Cambridge University Press. The book is written by Anthony Davison, Professor of Statistics at the Swiss Federal Institute of Technology, Lausanne, and David Hinkley, Professor of Statistics at the University of California at Santa Barbara.
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The Bootstrap and Edgeworth Expansion (Springer Series in Statistics); Our price: $83.06; ... Introduction to Nonparametric Estimation (Springer Series in Statistics); Our price: $41.73;
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Statistics: An Introduction using R; Our price: $39.03; ... Randomization, Bootstrap and Monte Carlo Methods in Biology, Third Edition (Texts in Statistical Science Series); Our price: $71.99;
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Introduction to Bootstrap Methods in Statistics (STA, 6 CS) ... An introduction to re-sampling methods and the bootstrap, types of problems which can be solved using these methods. The plug-in principle. Estimates of standard error. Parametric and bootstrap estimation, examples, an example of bootstrap failure,
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An introduction to the. Bootstrap method. Hugh Shanahan ... Difficulties in “Standard Statistics”; Bootstrap - the basic idea; A simple example ...
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