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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Grafarend, Erik (Συγγραφέας), Awange, Joseph (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.