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
- Year
- 2005
- Tongue
- English
- Leaves
- 765
- Category
- Library
No coin nor oath required. For personal study only.
✦ Table of Contents
New Introduction
to Multiple
Time Series Analysis
ISBN 3540401725
Preface
Contents
1
Introduction
2
Stable Vector Autoregressive Processes
3
Estimation of Vector Autoregressive Processes
4
VAR Order Selection and Checking the Model
Adequacy
5
VAR Processes with Parameter Constraints
6
Vector Error Correction Models
7
Estimation of Vector Error Correction Models
8
Specification of VECMs
9
Structural VARs and VECMs
10
Systems of Dynamic Simultaneous Equations
11
Vector Autoregressive Moving Average
Processes
12
Estimation of VARMA Models
13
Specification and Checking the Adequacy of
VARMA Models
14
Cointegrated VARMA Processes
15
Fitting Finite Order VAR Models to Infinite
Order Processes
16
Multivariate ARCH and GARCH Models
17
Periodic VAR Processes and Intervention
Models
18
State Space Models
A
Vectors and Matrices
B
Multivariate Normal and Related Distributions
C
Stochastic Convergence and Asymptotic
Distributions
D
Evaluating Properties of Estimators and Test
Statistics by Simulation and Resampling
Techniques
References
Index of Notation
Author Index
Subject Index
📜 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
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 include