TitleAutomatic trend estimation
Author(s)C�alin Vamo�s;Maria Cr�aciun
PublicationDordrecht, Springer, 2012.
Description1 online resource
Abstract NoteOur 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 t
NotesIncludes bibliographical references
Keyword(s)1. DATA MINING 2. EBOOK 3. EBOOK - SPRINGER 4. ESTIMATION THEORY 5. MATHEMATICS / Probability & Statistics / Time Series 6. TIME-SERIES ANALYSIS
Item TypeeBook
Multi-Media Links
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Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I02013     On Shelf