A01=Andreas S. Weigend
ARMA Model
Author_Andreas S. Weigend
Category=JHB
Correlation Integrals
Data Set
Data Sets
Delay Coordinates
Embedding Dimension
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Global Linear Model
Hidden Units
Iterated Prediction
Linear Modeling
Local Linear Model
Lorenz Equations
Low Dimensional Chaos
Mars Algorithm
Mars Model
Multivariate Adaptive Regression Splines
Out-of Sample Error
Phase Portrait
Physiological Time Series
Poincare Map
State Space Reconstruction
Surrogate Data
Time Delay Embedding
Time Series
Time Series Prediction
Product details
- ISBN 9780367095055
- Weight: 1100g
- Dimensions: 156 x 234mm
- Publication Date: 07 May 2019
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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The book is a summary of a time series forecasting competition that was held a number of years ago. It aims to provide a snapshot of the range of new techniques that are used to study time series, both as a reference for experts and as a guide for novices.
Andreas S Weigend
