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Business Forecasting,9780132301206
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Business Forecasting

by ;
Edition:
9th
ISBN13:

9780132301206

ISBN10:
0132301202
Format:
Paperback
Pub. Date:
2/8/2008
Publisher(s):
Prentice Hall

Questions About This Book?

What version or edition is this?
This is the 9th edition with a publication date of 2/8/2008.
What is included with this book?
  • The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any CDs, lab manuals, study guides, etc.

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Summary

KEY BENEFIT: The ninth edition of Business Forecasting presents basic statistical techniques that are useful for preparing individual business forecasts and long-range plans. Written in a simple, straightforward style and making extensive use of practical business examples, the book includes many cases that provide readers with the necessary link between theoretical concepts and their real-world applications. Readers should have a basic knowledge of statistics and be familiar with computer applications such as word processing and spreadsheets. KEY TOPICS: The book first presents background material such as the nature of forecasting and a quick review of basic statistical concepts; proceeds with the exploration of data patterns and choosing a forecasting technique; covers averaging the smoothing techniques and time series decomposition; emphasizes causal forecasting techniques such as correlation, regression, and multiple regression analysis; and concludes with judgmental forecasting and forecast adjustments. MARKET: Useful as a reference for students and professionals with job titles including: forecasting manager, marketing manager, production manager, and analyst.

Table of 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
Derivations
Data for Case Study 7.1
Tables
Data Sets and Databases
Index
Table of Contents provided by Publisher. All Rights Reserved.


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