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...
Guardat en:
| Autor principal: | |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2005. |
| Col·lecció: | Lecture Notes in Statistics
182 |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Nonparametric Monte Carlo tests and their applications, Lixing Zhu, 2005, New York, Springer, 1 vol. (XI-181 p.), Lecture notes in statistics, 0-387-25038-7 • Nonparametric Monte Carlo Tests and Their Applications, Texte imprimé, 9780387505640 • Nonparametric Monte Carlo tests and their applications, Lixing Zhu, 2005, New York, Springer, 1 vol. (XI-181 p.), Lecture notes in statistics, 0-387-25038-7 |
Taula de continguts:
- 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