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{ "item_title" : "Computer-Aided Introduction to Econometrics", "item_author" : [" Juan Rodriguez Poo "], "item_description" : "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", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/54/044/114/354044114X_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Computer-Aided Introduction to Econometrics|Juan Rodriguez Poo

Computer-Aided Introduction to Econometrics

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Overview

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 item is Non-Returnable

Details

  • ISBN-13: 9783540441144
  • ISBN-10: 354044114X
  • Publisher: Springer
  • Publish Date: February 2003
  • Dimensions: 9.21 x 6.14 x 0.81 inches
  • Shipping Weight: 1.47 pounds
  • Page Count: 331

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