Automatic Autocorrelation and Spectral Analysis
Automatic Autocorrelation and Spectral Analysis gives random data a language to communicate the information they contain objectively. In the current practice of spectral analysis, subjective decisions have to be made all of which influence the final spectral estimate and mean that different analysts...
Guardat en:
| Autor principal: | |
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| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
London :
Springer London
[20..].
Cham : Springer Nature |
| Col·lecció: | Engineering (Springer-11647; ZDB-2-ENG)
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| Matèries: | |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Automatic autocorrelation and spectral analysis, Piet M.T. Broersen, London, Springer, 2006, 1 vol. (XII-293 p.), 1-8462-8328-0 • Automatic Autocorrelation and Spectral Analysis, Texte imprimé, 9781849965811 • Automatic Autocorrelation and Spectral Analysis, Texte imprimé, 9781848004832 |
Taula de continguts:
- Basic Concepts Periodogram and Lagged Product Autocorrelation ARMA Theory Relations for Time Series Models Estimation of Time Series Models AR Order Selection MA and ARMA Order Selection ARMASA Toolbox with Applications Advanced Topics in Time Series Estimation.