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Business forecasting with forecastX / J. Holton Wilson

By: Wilson, J. Holton.
Contributor(s): Keating, Barry | John Galt Solutions, Inc.
Material type: materialTypeLabelBookPublisher: New York : McGraw Hill, 2009Edition: 6th Edition.Description: xii, 513 p. ill. CD.ISBN: 9780071276092; 0071276092.Subject(s): Business forecasting | Marketing researchDDC classification: 658.40355 W746B 2009
Contents:
Introduction to business forecasting -- The forecast process, data considerations, and model selection -- Moving averages and exponential smoothing -- Introduction to forecasting with regression methods -- Forecasting with multiple regression -- Times-series decomposition -- ARIMA (Box-Jenkins)-type forecasting models -- Combining forecast results -- Data mining -- Forecast implementation.
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Item type Current location Call number Status Date due Barcode Item holds
Books Books Information Technology University, Lahore
Barki Road Campus
658.40355 W746B 2009 (Browse shelf) Available 000594
Total holds: 0

Forecast X is the most comprehensive Excel-based software tool that effectively uses wizards and many tools to make forecasting easy and understandable. This book presents a broad-based survey of business forecasting methods including subjective and objective approaches. It includes Forecast X software updated for Excel 2007 and Vista.

The Sixth Edition of Business Forecasting is the most practical forecasting book on the market with the most powerful software—Forecast X. This edition presents a broad-based survey of business forecasting methods including subjective and objective approaches. As always, the author team of Wilson and Keating deliver practical how-to forecasting techniques, along with dozens of real world data sets while theory and math are held to a minimum. This Sixth Edition includes Forecast X software updated for Excel 2007 and Vista. Forecast X is the most comprehensive software tool available in this market and the new version is also backwards compatible for XP Excel 2003 systems. This Excel-based tool effectively uses wizards and many tools to make forecasting easy and understandable.

Includes index.

Introduction to business forecasting -- The forecast process, data considerations, and model selection -- Moving averages and exponential smoothing -- Introduction to forecasting with regression methods -- Forecasting with multiple regression -- Times-series decomposition -- ARIMA (Box-Jenkins)-type forecasting models -- Combining forecast results -- Data mining -- Forecast implementation.

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