Forecasting: Methods and Applications (Hardcover)

by Spyros G. Makridakis (Author), Steven C. Wheelwright (Author), Rob J Hyndman (Author) "Frequently there is a time lag between awareness of an impending event or need and occurrence of that event..." (more)
Key Phrases: preliminary seasonal component, housing sales data, monthly milk production, New York, International Journal of Forecasting, John Wiley (more...)

Editorial Reviews

Product Description
Can You Predict the Future by Looking at the Past? Since accurate forecasting requires more than just inserting historical data into a model, Forecasting: Methods and Applications, 3/e, adopts a managerial, business orientation. Integrated throughout this text is the innovative idea that explaining the past is not adequate for predicting the future. Inside, you will find the latest techniques used by managers in business today, discover the importance of forecasting and learn how it's accomplished. And you'll develop the necessary skills to meet the increased demand for thoughtful and realistic forecasts. New features in the third edition include:
* An emphasis placed on the practical uses of forecasting.
* All data sets used in this book are available on the Internet.
* Comprehensive coverage provided on both quantitative and qualitative forecasting techniques.
* Includes many new developments in forecasting methodology and practice.

From the Publisher
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 in various types of organizational areas. Numerous examples are included. --This text refers to an out of print or unavailable edition of this title.

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Product Details

• Hardcover: 656 pages
• Publisher: Wiley; 3 edition (December 1997)
• Language: English
• ISBN-10: 0471532339
• ISBN-13: 978-0471532330
• Product Dimensions: 9.4 x 7.7 x 1.2 inches
• Shipping Weight: 2.6 pounds (View shipping rates and policies)
• Average Customer Review: 4.4 out of 5 stars See all reviews (11 customer reviews)
• Amazon.com Sales Rank: #280,357 in Books (See Bestsellers in Books)

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Customer Reviews

Most Helpful Customer Reviews

21 of 21 people found the following review helpful:

5.0 out of 5 stars Excellent book written with the practitioner in mind, April 29, 1998

By	Jean Louis Piraux (Belgique) - See all my reviews (REAL NAME)

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.

20 of 20 people found the following review helpful:

5.0 out of 5 stars Down to earth, practical guide on forecasting., December 13, 2003

By	Frederic Horst (Brussels, Belgium) - See all my reviews (REAL NAME)

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 forecasts

I 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.

22 of 25 people found the following review helpful:

4.0 out of 5 stars Excellent Examples and Practical Approach, March 23, 2000

By A Customer

This book was not only recommended, but given to me as a MUST READ at work. Excellent practical approach to the theory with a minimum of formulation. Good practical examples and demos. I recommend it as a training manual for new analysts on the job.