<p><P>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 Ap
Nonparametric Monte Carlo Tests and Their Applications
โ Scribed by Lixing Zhu (auth.)
- Publisher
- Springer-Verlag New York
- Year
- 2005
- Tongue
- English
- Leaves
- 184
- Series
- Lecture Notes in Statistics 182
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Subjects
Statistical Theory and Methods
๐ SIMILAR VOLUMES
<p><P>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 Ap
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 Applicat
<p><span>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
<p><p>This book presents a systematic and comprehensive treatment of various prior processes that have been developed over the last four decades in order to deal with the Bayesian approach to solving some nonparametric inference problems. Applications of these priors in various estimation problems a
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