Elements of Forecasting
Francis X. Diebold(Author)
South-Western (Publisher)
Published on 2. September 1997
Book
Hardback
352 pages
978-0-538-86244-8 (ISBN)
Article exhausted; check for reprint
Description
A concise, modern survey of forecasting methods for business and economics which focuses on the core techniques of widest applicability and assumes only an elementary background in statistics. The book is applications-oriented and illustrates all methods with detailed examples and case studies.
A concise, modern survey of forecasting methods for business and economics which focuses on the core techniques of widest applicability and assumes only an elementary background in statistics. The book is applications-oriented and illustrates all methods with detailed examples and case studies.
A concise, modern survey of forecasting methods for business and economics which focuses on the core techniques of widest applicability and assumes only an elementary background in statistics. The book is applications-oriented and illustrates all methods with detailed examples and case studies.
More details
Language
English
Place of publication
Mason, OH
United States
Publishing group
Cengage Learning, Inc
Target group
College/higher education
Professional and scholarly
Illustrations
Illustrations
Dimensions
Height: 241 mm
Width: 190 mm
Weight
816 gr
ISBN-13
978-0-538-86244-8 (9780538862448)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Francis X. Diebold
Elements of Forecasting
Book
08/2000
2nd Edition
South-Western
€76.94
Article not available
Content
Part 1 Getting started: introduction to forecasting - applications, methods, books, journals and software; six considerations basic to successful forecasting. Part 2 Building, using and evaluating forecasting models; statistical graphics for forecasting; modelling and forecasting trend; modelling and forecasting seasonality; characterizing cycles; modelling cycles - MA, AR and ARMA models; forecasting cycles; putting it all together - a forecasting model with trend, seasonal and cyclical components; unit roots, stochastic trends, ARIMA forecasting models, and smoothing; forecasting with regression models; evaluating and combining forecasts.