Introduction to Time Series and Forecasting
Some of the key mathematical results are stated without proof in order to make the underlying theory accessible to a wider audience. The book assumes a knowledge only of basic calculus, matrix algebra, and elementary statistics. The emphasis is on methods and the analysis of data sets. The logic and...
Corporate Author: | SpringerLink (Online service) |
---|---|
Other Authors: | Brockwell, Peter J. (Editor), Davis, Richard A. (Editor) |
Format: | Electronic eBook |
Language: | English |
Published: |
New York, NY :
Springer New York,
2002.
|
Series: | Springer Texts in Statistics,
|
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Similar Items
-
Advances in Time Series Analysis and Forecasting Selected Contributions from ITISE 2016 /
Published: (2017) -
Multivariate Time Series With Linear State Space Structure
by: Gómez, Víctor
Published: (2016) -
Robustness in Statistical Forecasting
by: Kharin, Yuriy
Published: (2013) -
Introduction to Time Series and Forecasting
by: Brockwell, Peter J., et al.
Published: (2016) -
Time Series Analysis and Forecasting Selected Contributions from the ITISE Conference /
Published: (2016)