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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Zhu, Li-Xing (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Lecture Notes in Statistics, 182
Temas:
Statistics .
Statistical Theory and Methods.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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