Business forecasting
Author(s)
Bibliographic Information
Business forecasting
Pearson/Prentice Hall, c2009
9th ed
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
For undergraduate and graduate courses in Business Forecasting.
Written in a simple, straightforward style, Business Forecasting, 9th Edition presents basic statistical techniques using practical business examples to teach readers how to predict long-term forecasts.
Table of Contents
Brief Contents
Introduction to Forecasting
A Review of Basic Statistical Concepts
Exploring Data Patterns and Choosing a Forecasting Technique
Moving Averages and Smoothing Methods
Time Series and Their Components
Simple Linear Regression
Multiple Regression Analysis
Regression with Time Series Data
The Box-Jenkins (ARIMA) Methodology
Judgmental Forecasting and Forecast Adjustments
Managing the Forecasting Process
Appendix A: Derivations Appendix B: Data for Case Study 7.1 Appendix C: Tables Appendix D: Data Sets and Databases
by "Nielsen BookData"