Author: Tom Whiston
Publisher: Springer
ISBN: 1349044865
Category : Social Science
Languages : en
Pages : 371
Book Description
Uses and Abuses of Forecasting
Author: Tom Whiston
Publisher: Springer
ISBN: 1349044865
Category : Social Science
Languages : en
Pages : 371
Book Description
Publisher: Springer
ISBN: 1349044865
Category : Social Science
Languages : en
Pages : 371
Book Description
The Uses and Abuses of Forecasting
The Use and Abuse of "real-time" Data in Economic Forecasting
Author: Evan F. Koenig
Publisher:
ISBN:
Category : Economic forecasting
Languages : en
Pages : 44
Book Description
We distinguish between three different ways of using real-time data to estimate forecasting equations and argue that the most frequently used approach should generally be avoided. The point is illustrated with a model that uses monthly observations of industrial production, employment, and retail sales to predict real GDP growth. When the model is estimated using our preferred method, its out-of-sample forecasting performance is clearly superior to that obtained using conventional estimation, and compares favorably with that of the Blue-Chip consensus.
Publisher:
ISBN:
Category : Economic forecasting
Languages : en
Pages : 44
Book Description
We distinguish between three different ways of using real-time data to estimate forecasting equations and argue that the most frequently used approach should generally be avoided. The point is illustrated with a model that uses monthly observations of industrial production, employment, and retail sales to predict real GDP growth. When the model is estimated using our preferred method, its out-of-sample forecasting performance is clearly superior to that obtained using conventional estimation, and compares favorably with that of the Blue-Chip consensus.
The Uses and Abuses of Forecasting
Uses and Abuses of Forecasting
Author: Sussex Science Policy Research Unit
Publisher:
ISBN: 9781349044887
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9781349044887
Category :
Languages : en
Pages :
Book Description
Library of Congress Subject Headings
Author: Library of Congress
Publisher:
ISBN:
Category : Subject headings, Library of Congress
Languages : en
Pages : 1436
Book Description
Publisher:
ISBN:
Category : Subject headings, Library of Congress
Languages : en
Pages : 1436
Book Description
Library of Congress Subject Headings
Author: Library of Congress. Cataloging Policy and Support Office
Publisher:
ISBN:
Category : Subject headings, Library of Congress
Languages : en
Pages : 1688
Book Description
Publisher:
ISBN:
Category : Subject headings, Library of Congress
Languages : en
Pages : 1688
Book Description
Library of Congress Subject Headings
Author: Library of Congress. Office for Subject Cataloging Policy
Publisher:
ISBN:
Category : Subject headings, Library of Congress
Languages : en
Pages : 1324
Book Description
Publisher:
ISBN:
Category : Subject headings, Library of Congress
Languages : en
Pages : 1324
Book Description
Library of Congress Subject Headings
Author: Library of Congress. Subject Cataloging Division
Publisher: Washington, D.C. : Cataloging Distribution Service, Library of Congress
ISBN:
Category : Subject headings
Languages : en
Pages : 1348
Book Description
Publisher: Washington, D.C. : Cataloging Distribution Service, Library of Congress
ISBN:
Category : Subject headings
Languages : en
Pages : 1348
Book Description
Practical Time Series Forecasting with R
Author: Galit Shmueli
Publisher: Axelrod Schnall Publishers
ISBN: 0997847913
Category : Mathematics
Languages : en
Pages : 232
Book Description
Practical Time Series Forecasting with R: A Hands-On Guide, Second Edition provides an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The book introduces popular forecasting methods and approaches used in a variety of business applications. The book offers clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods using the free open-source R software to develop effective forecasting solutions that extract business value from time-series data. Featuring improved organization and new material, the Second Edition also includes: - Popular forecasting methods including smoothing algorithms, regression models, and neural networks - A practical approach to evaluating the performance of forecasting solutions - A business-analytics exposition focused on linking time-series forecasting to business goals - Guided cases for integrating the acquired knowledge using real data* End-of-chapter problems to facilitate active learning - A companion site with data sets, R code, learning resources, and instructor materials (solutions to exercises, case studies) - Globally-available textbook, available in both softcover and Kindle formats Practical Time Series Forecasting with R: A Hands-On Guide, Second Edition is the perfect textbook for upper-undergraduate, graduate and MBA-level courses as well as professional programs in data science and business analytics. The book is also designed for practitioners in the fields of operations research, supply chain management, marketing, economics, finance and management. For more information, visit forecastingbook.com
Publisher: Axelrod Schnall Publishers
ISBN: 0997847913
Category : Mathematics
Languages : en
Pages : 232
Book Description
Practical Time Series Forecasting with R: A Hands-On Guide, Second Edition provides an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The book introduces popular forecasting methods and approaches used in a variety of business applications. The book offers clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods using the free open-source R software to develop effective forecasting solutions that extract business value from time-series data. Featuring improved organization and new material, the Second Edition also includes: - Popular forecasting methods including smoothing algorithms, regression models, and neural networks - A practical approach to evaluating the performance of forecasting solutions - A business-analytics exposition focused on linking time-series forecasting to business goals - Guided cases for integrating the acquired knowledge using real data* End-of-chapter problems to facilitate active learning - A companion site with data sets, R code, learning resources, and instructor materials (solutions to exercises, case studies) - Globally-available textbook, available in both softcover and Kindle formats Practical Time Series Forecasting with R: A Hands-On Guide, Second Edition is the perfect textbook for upper-undergraduate, graduate and MBA-level courses as well as professional programs in data science and business analytics. The book is also designed for practitioners in the fields of operations research, supply chain management, marketing, economics, finance and management. For more information, visit forecastingbook.com