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. Nonparametric Monte Carlo Tests and Their Applicat...
| Κύριος συγγραφέας: | |
|---|---|
| Συγγραφή απο Οργανισμό/Αρχή: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
New York, NY :
Springer New York,
2005.
|
| Σειρά: | Lecture Notes in Statistics,
182 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Monte Carlo Tests
- Testing for Multivariate Distributions
- Asymptotics of Goodness-of-fit Tests for Symmetry
- A Test of Dimension-Reduction Type for Regressions
- Checking the Adequacy of a Partially Linear Model
- Model Checking for Multivariate Regression Models
- Heteroscedasticity Tests for Regressions
- Checking the Adequacy of a Varying-Coefficients Model
- On the Mean Residual Life Regression Model
- Homegeneity Testing for Covariance Matrices.
