Models for Dependent Time Series
Saved in:
| Title: | Models for Dependent Time Series |
|---|---|
| Description: | Models for Dependent Time Series addresses the issues that arise and the methodology that can be applied when the dependence between time series is described and modeled. Whether you work in the economic, physical, or life sciences, the book shows you how to draw meaningful, applicable, and statistically valid conclusions from multivariate (or vect |
| Authors: | Granville Tunnicliffe Wilson, Marco Reale, John Haywood |
| Resource Type: | eBook. |
| Subjects: | Time-series analysis, Autoregression (Statistics), Mathematical statistics |
| Categories: | MATHEMATICS / Probability & Statistics / Time Series, MATHEMATICS / Probability & Statistics / Multivariate Analysis, MATHEMATICS / Probability & Statistics / Stochastic Processes |
| Database: | eBook Collection (EBSCOhost) |
| Abstract: | Models for Dependent Time Series addresses the issues that arise and the methodology that can be applied when the dependence between time series is described and modeled. Whether you work in the economic, physical, or life sciences, the book shows you how to draw meaningful, applicable, and statistically valid conclusions from multivariate (or vect |
|---|---|
| ISBN: | 9781584886501 9780367570521 9780367241018 9781420011500 9780429144400 9781040208427 |
