Analysis of Integrated and Cointegrated Time Series with R

Analysis of Integrated and Cointegrated Time Series with R
Author: Bernhard Pfaff
Publisher: Springer Science & Business Media
Total Pages: 193
Release: 2008-09-03
Genre: Business & Economics
ISBN: 0387759670

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This book is designed for self study. The reader can apply the theoretical concepts directly within R by following the examples.


Analysis of Integrated and Cointegrated Time Series with R
Language: en
Pages: 193
Authors: Bernhard Pfaff
Categories: Business & Economics
Type: BOOK - Published: 2008-09-03 - Publisher: Springer Science & Business Media

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This book is designed for self study. The reader can apply the theoretical concepts directly within R by following the examples.
Analysis of Integrated and Cointegrated Time Series with R
Language: en
Pages: 139
Authors: Bernhard Pfaff
Categories: Mathematics
Type: BOOK - Published: 2008-11-01 - Publisher: Springer

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This book is designed for self study. The reader can apply the theoretical concepts directly within R by following the examples.
Applied Econometrics with R
Language: en
Pages: 229
Authors: Christian Kleiber
Categories: Business & Economics
Type: BOOK - Published: 2008-12-10 - Publisher: Springer Science & Business Media

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R is a language and environment for data analysis and graphics. It may be considered an implementation of S, an award-winning language initially - veloped at Be
The Analysis of Time Series
Language: en
Pages: 398
Authors: Chris Chatfield
Categories: Mathematics
Type: BOOK - Published: 2019-04-25 - Publisher: CRC Press

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This new edition of this classic title, now in its seventh edition, presents a balanced and comprehensive introduction to the theory, implementation, and practi
Introductory Time Series with R
Language: en
Pages: 262
Authors: Paul S.P. Cowpertwait
Categories: Mathematics
Type: BOOK - Published: 2009-05-28 - Publisher: Springer Science & Business Media

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This book gives you a step-by-step introduction to analysing time series using the open source software R. Each time series model is motivated with practical ap