Computer aided introduction to econometrics [MD Tech, Method & Data Technologies]. Juan Rodriguez-Poo

Rodríguez-Póo, Juan M. (Mitwirkender):

ISBN 10: 354044114X / ISBN 13: 9783540441144

Editore: Berlin ; Heidelberg ; New York ; Hong Kong ; London ; Milan ; Paris ; Tokio : Springer, 2003

Riguardo questo articolo

XVII, 331 S. : graph. Darst. ; 24 cm Sauberes und frisch erhaltenes Exemplar, keine wahrnehmbaren Gebrauchsspuren. 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. ISBN 9783540441144 Sprache: Englisch Gewicht in Gramm: 635.

Codice articolo 1161990

Dati bibliografici

• Titolo: Computer aided introduction to econometrics [MD Tech, Method & Data Technologies]. Juan Rodriguez-Poo
• Editore: Berlin ; Heidelberg ; New York ; Hong Kong ; London ; Milan ; Paris ; Tokio : Springer
• Data di pubblicazione: 2003
• Lingua: Inglese
• ISBN 10: 354044114X
• ISBN 13: 9783540441144
• Rilegatura: Pp.
• Condizione: Gut
• Peso: 635 grammi
• Cataloghi dei venditori:
  • Varia

Descrizione articolo

Riassunto

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

Recensione

From the reviews:

"The usefulness of the book lies in the fact that the reader, along with learning the theory, can actually practice the different techniques described in the book through an internet based interactive computing method. The electronic version of the book including all computational possibilities can be viewed and downloaded at http:// www.xplore-stat.de. The book should be very useful to students and researchers working in the area of econometrics. Professor Rodriguez Poo has done a good job in compiling the chapters.” (Amita Majumder, Sankhya: The Indian Journal of Statistics, Vol. 66 (2), 2004)

"This book is a collection of seven contributions to different fields of econometrics ... . The book is addressed to undergraduate students and/or applied researchers and practitioners to develop professional skills in econometrics. The basic intention of the book is to teach econometrics using the resources from the internet by incorporating an interactive computing internet based method that allows to practice all the techniques presented and discussed in this book. Therefore the editor refers to his book as an e-book." (Herbert S. Buscher, Zentralblatt MATH, Vol. 1012, 2003)

"The special feature of the book is its strong interrelation with the econometric internet software package XploRe ... . The set of methods that are covered in the book give an interesting introduction to the elementary and some advanced topics in econometrics and time series analysis. ... Bibliographies are given at the end of each chapter ... . The book is an interesting treatment of the subject and may well serve as a textbook for a course in applied econometrics for students or practitioners." (Peter Hackl, Statistical Papers, Vol. 45 (4), 2004)