Applications of Linear and Nonlinear Models Fixed Effects, Random Effects, and Total Least Squares /

Here we present a nearly complete treatment of the Grand Universe of linear and weakly nonlinear regression models within the first 8 chapters. Our point of view is both an algebraic view as well as a stochastic one. For example, there is an equivalent lemma between a best, linear uniformly unbiased...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Grafarend, Erik (Autor), Awange, Joseph L. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Temas:
Geophysics.
Algebras, Linear.
Statistics .
Linear Algebra.
Statistical Theory and Methods.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • The first problem of algebraic regression
  • The first problem of algebraic regression: the bias problem Special Gauss-Markov model with datum defects, LUMBE
  • The second problem of algebraic regression Inconsistent system of linear observational equations
  • The second problem of probabilistic regression Special Gauss-Markov model without datum defect
  • The third problem of algebraic regression
  • The third problem of probabilistic regression Special Gauss-Markov model without datum defect
  • Overdetermined system of nonlinear equations on curved manifolds inconsistent system of directional observational equations
  • The fourth problem of probabilistic regression Special Gauss-Markov model with random effects
  • Appendix A-D
  • References
  • Index.

Ejemplares similares