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Fundamentals of forecasting using Excel / Kenneth D. Lawrence, Ronald K. Klimberg, Sheila M. Lawrence.

Knovel Industrial Engineering & Operations Management Academic Available online

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Format:
Book
Author/Creator:
Lawrence, Kenneth D.
Klimberg, Ronald K., Author.
Lawrence, Sheila M., Author.
Contributor:
Books24x7, Inc.
Language:
English
Subjects (All):
Microsoft Excel (Computer file).
Business forecasting.
Forecasting.
Genre:
Electronic books.
Physical Description:
209 p.
Place of Publication:
New York, N.Y. : Industrial Press, c2009 (Norwood, Mass. : Books24x7.com [generator])
Language Note:
English
Summary:
Forecasting is an integral part of almost all business enterprises. This book provides readers with the tools to analyze their data, develop forecasting models and present the results in Excel. Progressing from data collection, data presentation, to a step-by-step development of the forecasting techniques, this essential text covers techniques that include but not limited to time series moving average, exponential smoothing, trending, simple and multiple regression, and Box-Jenkins. And unlike other products of its kind that require either high-priced statistical software or Excel add-ins, this book does not require such software.
Contents:
Fundamentals of forecasting using excel
Contents
About the Authors
Chapter 1 Introduction to Forecasting
Chapter 2 Summarizing and Displaying Data in Excel
Chapter 3 Basic Time Series Analysis
Chapter 4 Forecasting Performance Measurements, Tracking Signals, and Randomness Tests
Chapter 5 Advanced Time Series Forecasting Techniques
Chapter 6 Simple Linear Regression Analysis in Forecasting
Chapter 7 Multiple Linear Regression Analysis in Forecasting
Chapter 8 Markovian Forecasting Models
Chapter 9 Diffusion Modeling and Forecasting
Chapter 10 Miscellaneous Forecasting Methods
Index.
Notes:
Title from title screen.
Text enhanced by link to pdf download.
Includes bibliographical references and index.
Digitized and made available by: Books24x7.com.
ISBN:
1-60119-932-5

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