Restricted Kalman filtering : theory, methods, and application
In statistics, the Kalman filter is a mathematical method whose purpose is to use a series of measurements observed over time, containing random variations and other inaccuracies, and produce estimates that tend to be closer to the true unknown values than those that would be based on a single measu...
Gorde:
| Egile nagusia: | |
|---|---|
| Formatua: | Livre numérique |
| Hizkuntza: | Anglais |
| Argitaratua: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edizioa: | 1st ed. 2012. |
| Saila: | SpringerBriefs in Statistics
12 |
| Sarrera elektronikoa: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Oharra: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Restricted Kalman Filtering, Texte imprimé, 9781461447375 • Restricted Kalman Filtering, Texte imprimé, 9781461447375 • Restricted Kalman Filtering, Texte imprimé, 9781461447399 • Restricted Kalman Filtering, Texte imprimé, 9781461447375 • Restricted Kalman Filtering, Texte imprimé, 9781461447399 |
Aurkibidea:
- Introduction Linear state space models and the Kalman filtering: a briefing Restricted Kalman filtering: theoretical issues Restricted Kalman filtering: methodological issues Applications Further Extensions