Téléchargez le livre : Automatic trend estimation

Automatic trend estimation

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Éditeur :

Springer


Collection :

SpringerBriefs in Physics

Paru le : 2012-09-14

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Description
Our book introduces a method to evaluate the accuracy of trend estimation algorithms under conditions similar to those encountered in real time series processing. This method is based on Monte Carlo experiments with artificial time series numerically generated by an original algorithm. The second part of the book contains several automatic algorithms for trend estimation and time series partitioning. The source codes of the computer programs implementing these original automatic algorithms are given in the appendix and will be freely available on the web. The book contains clear statement of the conditions and the approximations under which the algorithms work, as well as the proper interpretation of their results. We illustrate the functioning of the analyzed algorithms by processing time series from astrophysics, finance, biophysics, and paleoclimatology. The numerical experiment method extensively used in our book is already in common use in computational and statistical physics.
Pages
131 pages
Collection
SpringerBriefs in Physics
Parution
2012-09-14
Marque
Springer
EAN papier
9789400748248
EAN EPUB
9789400748255
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
2857 Ko
Prix
47,46 €

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