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Wavelet Methods for Time Series Analysis (Cambridge Series in Statistical and Probabilistic Mathematics) by Donald B. Percival (2010-10-06) - de (Broché) (Author)
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| Le Titre Du Livre | Wavelet Methods for Time Series Analysis (Cambridge Series in Statistical and Probabilistic Mathematics) by Donald B. Percival (2010-10-06) |
| Sortié Le | |
| Traducteur | Sachleen Calam |
| Quantité de Pages | 333 Pages |
| La taille du fichier | 39.31 MB |
| Langue du Livre | Anglais et Français |
| Éditeur | Autumn House Press |
| ISBN-10 | 9022279429-QEC |
| Format de e-Book | AMZ ePub PDF FTM TXT |
| Écrivain | (Broché) |
| EAN | 930-0440700977-KLL |
| Nom de Fichier | Wavelet-Methods-for-Time-Series-Analysis-(Cambridge-Series-in-Statistical-and-Probabilistic-Mathematics)-by-Donald-B.-Percival-(2010-10-06).pdf |
Télécharger Wavelet Methods for Time Series Analysis (Cambridge Series in Statistical and Probabilistic Mathematics) by Donald B. Percival (2010-10-06) Livre PDF Gratuit
Data in the form of time series are routinely collected in science engineering and other areas such as finance and economics This is an introduction to wavelet analysis from the ground level and up and to waveletbased statistical analysis of time s
This introduction to wavelet analysis from the ground level and up and to waveletbased statistical analysis of time series focuses on practical discrete time techniques with detailed descriptions of the theory and algorithms needed
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This paper deals with methods for finding the suitable weights in an Artificial Neural Network ANN using Genetic Algorithms GA We study the weakness and strengthness of the proposed approach in case of a statistical data forecasting We describe a different approach when using the input data during optimization phase Besides GA we