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 | | Business Forecasting (7th Edition) by John E. Hanke, Arthur G. Reitsch, Dean W. Wichern ISBN-10: 9780130878106 ISBN-10: 0-13-087810-3 ISBN-13: 9780130878106 ISBN-13: 978-0-13-087810-6 Hardcover 2001-01-03 Prentice Hall Find Lowest Price |
Editorials | ||
Product Description Managerial decision-making in approach, this book explores the basic statistical techniques that are useful for preparing individual business forecasts and long-range plans. Incorporates instructions on using Excel spreadsheets and the statistical package MINITAB to forecast, along with their appropriate output. Organizing Data and a Review of Statistical Concepts. Exploring Data Patterns and Choosing a Forecasting Technique. Moving Averages and Smoothing Methods. Time Series Analysis. Regression Analysis. Multiple Regression. Regression with Time Series Data. The Box-Jenkins (ARIMA) Methodology. Judgmental Forecasting and Other Forecasting Methods. Managing the Forecasting Process. For business managers interested in business forecasting techniques. | ||
Reviews | ||
frustrating I bought this book to do forecasting for work. The authors' names looked familiar, but I thought maybe an obscure article or footnote was the reason. Then, after going through this book, I realized the reason - Wichern is the same guy who wrote the utterly confusing, frustrating, and represensible Multivariate textbook myself and fellow graduate students were subjected to (and promptly ignored in favor of better books on the subject). This book is a perfect example of why textbooks suck - professors get tenure by publishing and other professors do the evaluation. Learning or effectiveness never comes into the equation. So, as a book for impressing other professors, this book is a huge success. But as a book for actually learning how to do forecasting, it is an utter failure. With the advent of the internet, there is better information about this subject on-line (like Wikipedia), written for people who do real work. I gave it two stars only because it is a moderately useful reference. | ||
A good text, but frustrating. The book presents the topic of forecasting in good, methodical way with examples and illustrations from Minitab. It the book also illustrates the procedures on how to work with Minitab. However, it appears the book may not have been updated for the changes in the Minitab software. As such, trying to replicate the tables and output illustrated in the book is very frustrating. As a student trying to learn the basics of forecasting, it is not possible to tell what errors are mine versus being due to differences in the software. The supporting student website only contains data sets. An update to the tables and exhibits at the website would be helpful, as well as mentioning the existence of the website more than is currently done in the text. Other than the frustration caused by the tables and printouts not exactly matching the current Minitab printouts, it is a good, understandable text that would have rated a 5. | ||