This reference work and graduate-level textbook deals with analyzing and forecasting multiple time series, considering a wide range of models and methods. It is based on the author’s successful Introduction to Multiple Time Series Analysis, updated to include the state of the art and latest developm
New Introduction to Multiple Time Series Analysis
✍ Scribed by Helmut Lütkepohl
- Publisher
- Springer Science & Business Media
- Year
- 2005
- Tongue
- English
- Leaves
- 765
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
This is the new and totally revised edition of Lütkepohl’s classic 1991 work. It provides a detailed introduction to the main steps of analyzing multiple time series, model specification, estimation, model checking, and for using the models for economic analysis and forecasting. The book now includes new chapters on cointegration analysis, structural vector autoregressions, cointegrated VARMA processes and multivariate ARCH models. The book bridges the gap to the difficult technical literature on the topic. It is accessible to graduate students in business and economics. In addition, multiple time series courses in other fields such as statistics and engineering may be based on it.
📜 SIMILAR VOLUMES
This reference work and graduate-level textbook deals with analyzing and forecasting multiple time series, considering a wide range of models and methods. It is based on the author’s successful Introduction to Multiple Time Series Analysis, updated to include the state of the art and latest developm
This reference work and graduate-level textbook deals with analyzing and forecasting multiple time series, considering a wide range of models and methods. It is based on the author’s successful Introduction to Multiple Time Series Analysis, updated to include the state of the art and latest developm
<p>When I worked on my Introduction to Multiple Time Series Analysis (Lutk ¨ ¨- pohl (1991)), a suitable textbook for this ?eld was not available. Given the great importance these methods have gained in applied econometric work, it is perhaps not surprising in retrospect that the book was quite succ
When I worked on my Introduction to Multiple Time Series Analysis (Lutk ] ]- pohl (1991)), a suitable textbook for this ?eld was not available. Given the great importance these methods have gained in applied econometric work, it is perhaps not surprising in retrospect that the book was quite success