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Forecasting: Methods and Applications 3rd Edition

4.4 out of 5 stars 24 customer reviews
ISBN-13: 978-0471532330
ISBN-10: 0471532339
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Editorial Reviews

From the Back Cover

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.
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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: 7.7 x 1.2 x 9.3 inches
  • Shipping Weight: 2.6 pounds (View shipping rates and policies)
  • Average Customer Review: 4.4 out of 5 stars  See all reviews (24 customer reviews)
  • Amazon Best Sellers Rank: #125,945 in Books (See Top 100 in Books)

Customer Reviews

Top Customer Reviews

By Frederic Horst on December 13, 2003
Format: Hardcover
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.
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Format: Hardcover
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.
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Format: Hardcover
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.
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Format: Hardcover Verified Purchase
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.
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Format: Hardcover
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.
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Format: Hardcover Verified Purchase
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.
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Format: Hardcover Verified Purchase
This is an excellent introduction to forecasting for people who who can live without lots of mathematical detail. All the key forecasting techniques are introduced with minimal mathematical overhead (basic Calculus is considered too much math for the main text). However there is enough detail for the reader to develop an intuition about why the techniques work the way that they do. The implicit assumption made throughout the book is that the reader will use statistical software that deals with the implementation details. The bibliography seems extensive enough to lead the interested reader to more rigorous explanations.

This book provides a lot of good advice about how to actually apply the mathematical techniques introduced to the real world. The chapters on long term forecasting are often startlingly insightful when read today, nearly 16 years after the book was written. Consider this quote: "At present it is not clear wheter Intel/Microsoft or Sun/Oracle/Netscape will be the winners of the race to dominate the personal computer market." The nice thing is a quote like that actually helps reinforce the message in the text about the dangers in forecasting for the long term, instead of making the book feel dated.

I'm some one who needs forecasting techniques occasionally to get other work done. As a non-specialist I feel this book is the perfect one to add to my bookshelf.
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Format: Hardcover Verified Purchase
A textbook, but clearly written, with enough applied examples to make the techniques real. The book is well laid out and the authors do a great job of telling you how to get the most out of it depending on your interests. while not a deep mathematical treatise of forecasting, there is enough depth to apply the techniques and provide an understanding of what most of the popular software programs are doing.
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