Библиографический источник

New introduction to multiple time series analysis

H. Lütkepohl

Заглавие:

New introduction to multiple time series analysis

Автор:
Место издания:

Berlin

Издатель:

Springer

Дата издания:
Объём:

764 p:

ISBN:

9783540277521

Сведения о содержании:

Introduction.- Finite Order Vector Autoregressive Processes: Stable Vector Autoregressive Processes.- Estimation of Vector Autoregressive Processes.- VAR Order Selection and Checking the Model Adequacy.- VAR Processes with Parameter Constraints. Cointegrated Processes: Vector Error Correction Models.- Estimation of Vector Error Correction Models.- Specification of VECMs. Structural and Conditional Models: Structural VARs and VECMs.- Systems of Dynamic Simultaneous Equations. Infinite Order Vector Autoregressive Processes: Vector Autoregressive Moving Average Processes.- Estimation of VARMA Models.- Specification and Checking the Adequacy of VARMA.- Cointegrated VARMA Processes.- Fitting Finite Order VAR Models to Infinite Order Processes. Time Series Topics: Multivariate ARCH and GARCH Models.- Periodic VAR Processes and Intervention Models.- State Space Models. Appendices: Vectors and Matrices.- Multivariate Normal and Related Distributions.- Stochastic Convergence and Asymptotic Distributions.- Evaluating Properties of Estimators and Test Statistics by Simulation and Resampling Techniques.

Язык текста:

Английский

Дата публикации:
Дата публикации: