New Introduction to Multiple Time Series Analysis

New Introduction to Multiple Time Series Analysis
Author: Helmut Lütkepohl
Publisher: Springer Science & Business Media
Total Pages: 792
Release: 2007-07-26
Genre: Business & Economics
ISBN: 9783540262398


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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.


New Introduction to Multiple Time Series Analysis
Language: en
Pages: 792
Authors: Helmut Lütkepohl
Categories: Business & Economics
Type: BOOK - Published: 2007-07-26 - Publisher: Springer Science & Business Media

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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 tim
Introduction to Multiple Time Series Analysis
Language: en
Pages: 556
Authors: Helmut Lütkepohl
Categories: Business & Economics
Type: BOOK - Published: 2013-04-17 - Publisher: Springer Science & Business Media

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Introduction to Multiple Time Series Analysis
Language: en
Pages: 546
Authors: Helmut Lütkepohl
Categories: Business & Economics
Type: BOOK - Published: 2014-03-12 - Publisher: Springer

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Introduction to Multiple Time Series Analysis
Language: en
Pages: 545
Authors: Helmut Lütkepohl
Categories: Economics
Type: BOOK - Published: 1991 - Publisher: Springer

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Multivariate Time Series Analysis
Language: en
Pages: 414
Authors: Ruey S. Tsay
Categories: Mathematics
Type: BOOK - Published: 2013-11-11 - Publisher: John Wiley & Sons

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An accessible guide to the multivariate time series tools used in numerous real-world applications Multivariate Time Series Analysis: With R and Financial Appli