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...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Grafarend, Erik (Author), Awange, Joseph L. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Edition:1st ed. 2012.
Subjects:
Geophysics.
Algebras, Linear.
Statistics .
Linear Algebra.
Statistical Theory and Methods.
Online Access:Texto Completo
Table of Contents:
  • 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.

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