Forecasting Methods and Applications

by Spyros G. Makridakis and Steven C. Wheelwright

Book Overview

Presents a wide range of forecasting methods useful for undergraduate or graduate students majoring in business management, economics, or engineering. Develops skills for selecting the proper methodology. Integrates forecasting with the planning and decision-making activities within an organization. Methods of forecasting include: decomposition, regression analysis, and econometrics. Stresses the strengths and weaknesses of the individual methods...

• Format: Hardcover
• Language: English
• ISBN: 047108610X
• ISBN13: 9780471086109
• Release Date: April 1983
• Publisher: Wiley
• Length: 944 Pages
• Weight: 4.00 lbs.
• Dimensions: 2.0" x 7.8" x 9.5"

Customer Reviews

Excellent book

If you begin a journey of analyzing time series this is the book for you. Excellent book for every student - you must have and read it. I highly recommend, not to mentioned the fact that at the Web site of Prof. Rob J Hyndman are the data and "forecasting bundle of R packages provides new forecasting methods, and graphical tools for displaying and analysing forecasts" methods explain in that book.

Great reference book!

I've been in the field for a few years now and I finally found a book that explains and summarizes the forecasting theory so good. This is my reference book now. I use it to teach my engineers in the subject and for personal reference as well. It provides new information that wasn't available 10 years ago. The explanaitions are good and the examples clear.

This book has the formulas.

Chapters 3 and 4, and on covered the vital information that is useful for inventory system forecasting at the SKU level, and for measuring the accuracy of the forecasts. This book was extremely helpful in that regard. Highly recommended.

Down to earth, practical guide on forecasting.

The book provides coverage of three important areas: - Basic forecasting tools and methods - summarizing data, statistical tools, regression, as well as some material on more advanced forecasting methods - Data preparation - time series decomposition, smoothing methods - A discussion of the issues involved in forecasting - long term versus short term forecasting, accuracy of forecasts, the importance and limitations of judgmental forecasts and combining these with statistical forecastsI was fortunate enough to stumble across this book in a colleagues office and believe this book should belong in every market research professional's shelf.

Excellent book written with the practitioner in mind

Excellent book written with the practitioner in mind. Mathematical formalism kept to a minimum. The last 4 chapters (about judgmental forecasting and practical aspects of forecasting) are a plus vs. other books.