Computer-Aided Introduction to Econometrics
Softcover reprint of the original 1st ed. 2003
Book Details
Format
Paperback / Softback
ISBN-10
3642629016
ISBN-13
9783642629013
Edition
Softcover reprint of the original 1st ed. 2003
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Country of Manufacture
DE
Country of Publication
GB
Publication Date
Oct 4th, 2012
Print length
331 Pages
Product Classification:
Economics, finance, business & managementEconometricsProbability & statistics
Ksh 8,100.00
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The advent of low cost computation has made many previously intractable econometric models empirically feasible and computational methods are now realized as an integral part of the theory. This book provides graduate students and researchers not only with a sound theoretical introduction to the topic, but allows the reader through an internet based interactive computing method to learn from theory to practice the different techniques discussed in the book. Among the theoretical issues presented are linear regression analysis, univariate time series modelling with some interesting extensions such as ARCH models and dimensionality reduction techniques. The electronic version of the book including all computational possibilites can be viewed athttp://www.xplore-stat.de/ebooks/ebooks.html
The advent of low cost computation has made many previously intractable econometric models empirically feasible and computational methods are now realized as an integral part of the theory.
This book provides graduate students and researchers not only with a sound theoretical introduction to the topic, but allows the reader through an internet based interactive computing method to learn from theory to practice the different techniques discussed in the book. Among the theoretical issues presented are linear regression analysis, univariate time series modelling with some interesting extensions such as ARCH models and dimensionality reduction techniques.
The electronic version of the book including all computational possibilites can be viewed at
http://www.xplore-stat.de/ebooks/ebooks.html
This book provides graduate students and researchers not only with a sound theoretical introduction to the topic, but allows the reader through an internet based interactive computing method to learn from theory to practice the different techniques discussed in the book. Among the theoretical issues presented are linear regression analysis, univariate time series modelling with some interesting extensions such as ARCH models and dimensionality reduction techniques.
The electronic version of the book including all computational possibilites can be viewed at
http://www.xplore-stat.de/ebooks/ebooks.html
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