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Nonparametric Monte Carlo Tests and Their Applications Book

Nonparametric Monte Carlo Tests and Their Applications
Nonparametric Monte Carlo Tests and Their Applications, 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. Nonpa, Nonparametric Monte Carlo Tests and Their Applications has a rating of 3 stars
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Nonparametric Monte Carlo Tests and Their Applications, 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. Nonpa, Nonparametric Monte Carlo Tests and Their Applications
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  • Nonparametric Monte Carlo Tests and Their Applications
  • Written by author Lixing Zhu
  • Published by Springer-Verlag New York, LLC, August 2005
  • 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. Nonpa
  • 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. Nonpa
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Book Categories

Authors

1Monte Carlo tests1
2Testing for multivariate distributions11
3Asymptotics of goodness-of-fit tests for symmetry27
4A test of dimension-reduction type for regressions45
5Checking the adequacy of a partially linear model61
6Model checking for multivariate regression models85
7Heteroscedasticity tests for regressions103
8Checking the adequacy of a varying-coefficients model123
9On the mean residual life regression model141
10Homegeneity testing for covariance matrices155


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Nonparametric Monte Carlo Tests and Their Applications, 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. Nonpa, Nonparametric Monte Carlo Tests and Their Applications

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Nonparametric Monte Carlo Tests and Their Applications, 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. Nonpa, Nonparametric Monte Carlo Tests and Their Applications

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Nonparametric Monte Carlo Tests and Their Applications, 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. Nonpa, Nonparametric Monte Carlo Tests and Their Applications

Nonparametric Monte Carlo Tests and Their Applications

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