Generalized Principal Component Analysis
1564 Kč 1 621 Kč
Sleva až 70% u třetiny knih
This book offers a new method for studying hybrid models: Generalized Principal Component Analysis. Coverage includes statistical, geometric and algebraic concepts associated with estimation and segmentation of hybrid models, especially hybrid linear models.
| Autor: | Anastasio, Thomas J. (University of Illinois); Ehrenberger, Kristen Ann; Watson, Patrick; Zhang, Wenyi |
| Nakladatel: | Springer-Verlag New York Inc. |
| ISBN: | 9780387878102 |
| Rok vydání: | 2016 |
| Jazyk : | Angličtina |
| Vazba: | Hardback |
| Počet stran: | 566 |
Mohlo by se vám také líbit..
-
A Course in Mathematical Statistics a...
Bhattacharya, Rabi; Waymire, Edward C.
-
Problems in Analytic Number Theory
Ramamurty, G.
-
Representation Theory
Rivers, Patrick (University of New Haven, USA); Fulton, William (LaGuardia Community College, USA)
-
The Book of Numbers
Berlekamp, Elwyn R.; Conway, Professor John H.; Guy, Richard K.
-
Undergraduate Analysis
Lang, Serge
-
Basic Mathematics
Lang, Serge
-
Elementary Analysis
Kennedy, Ross Kenneth
-
Complex Analysis
Gamelin, Theodore W.
-
A First Course in Calculus
Lang, Serge
-
Berkeley Problems in Mathematics
Souza, Paulo Ney De (University of California, USA); Silva, Jorge-Nuno
-
Algebraic Geometry
Hartshorne, Robin
-
Complex Analysis
Lang, Serge
-
Differential Equations and Their App...
Braun, Martin
-
Advanced Calculus
Callahan, James J., Jr.
-
An Intermediate Course in Probability
Guthrie, Allan
-
Introduction to Perturbation Methods
Holmes, Mark H.