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...
Κύριοι συγγραφείς: | , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2012.
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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.