ShopSpell

Computer-Aided Introduction to Econometrics [Paperback]

$42.99     $54.99    22% Off      (Free Shipping)
100 available
  • Category: Books (Business & Economics)
  • ISBN-10:  3642629016
  • ISBN-10:  3642629016
  • ISBN-13:  9783642629013
  • ISBN-13:  9783642629013
  • Publisher:  Springer
  • Publisher:  Springer
  • Pages:  331
  • Pages:  331
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Mar-2012
  • Pub Date:  01-Mar-2012
  • SKU:  3642629016-11-SPRI
  • SKU:  3642629016-11-SPRI
  • Item ID: 100744343
  • List Price: $54.99
  • Seller: ShopSpell
  • Ships in: 5 business days
  • Transit time: Up to 5 business days
  • Delivery by: Jul 04 to Jul 06
  • Notes: Brand New Book. Order Now.
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.htmlThe 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.html1 Univariate Linear Regression Model.- 1.1 Probability and Data Generating Process.- 1.1.1 Random Variable and Probability Distribution.- 1.1.2 Example.- 1.1.3 Data Generating Process.- 1.1.4 Example.- 1.2 Estimators and Properties.- 1.2.1 Regression Parameters and their Estimation.- 1.2.2 Least Squares Method.- lF
Add Review