Evolutionary statistical procedures : an evolutionary computation approach to statistical procedures designs and applications
This proposed text appears to be a good introduction to evolutionary computation for use in applied statistics research. The authors draw from a vast base of knowledge about the current literature in both the design of evolutionary algorithms and statistical techniques. Modern statistical research i...
Salvato in:
| Autori principali: | , , |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Springer e-books
[20..].
Cham : Springer Nature |
| Serie: | Statistics and Computing
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| Soggetti: | |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Description d'après consultation du 18 février 2013 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Evolutionary statistical procedures, an evolutionary computation approach to statistical procedures designs and applications, Roberto Baragona, Francesco Battaglia, Irene Poli, Berlin, Springer, 2011, 1 vol. (XI-276 p.), Statistics and computing, 978-3-642-16217-6 |
Sommario:
- Introduction Evolutionary Computation Evolving Regression Models Time Series Linear and Nonlinear Models Design of Experiments Outliers Cluster Analysis