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Publisher: Springer | ISBN: [url=]0387250387[/url] | edition 2005 | PDF | 184 pages | 2,5 mb
A fundamental issue in statistical analysis is testing the fit of a particular probability model to a set of observed data. Monte Carlo approximation to the null distribution of the test provides a convenient and powerful means of testing model fit. Nonparametric Monte Carlo Tests and Their Applications proposes a new Monte Carlo-based methodology to construct this type of approximation when the model is semistructured.
Nonparametric Monte Carlo Tests and Their Applications: Nonparametric Monte Carlo Tests and Their Applications.part1.rar
