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Business forecasting

By: Hanke, John EContributor(s): Reitsch, Arthur G | Wichern, Dean WMaterial type: Text

TextPublication details: New Delhi : Prentice Hall, ©2001Edition: 7th EditionDescription: xiv, 498 p.: illustrationsISBN: 9780130878106; 0130878103 ; 9788120321182 ; 8120321189Subject(s): Business forecasting | ManagementDDC classification: 658.40355

Contents:

Ch. 1. Introduction to Forecasting -- Ch. 2. A Review of Basic Statistical Concepts -- Ch. 3. Exploring Data Patterns and Choosing a Forecasting Technique -- Ch. 4. Moving Averages and Smoothing Methods -- Ch. 5. Time Series and Their Components -- Ch. 6. Simple Linear Regression -- Ch. 7. Multiple Regression Analysis -- Ch. 8. Regression with Time Series Data -- Ch. 9. The Box-Jenkins (ARIMA) Methodology -- Ch. 10. Judgmental Elements in Forecasting -- Ch. 11. Managing the Forecasting Process.

Summary: Emphasizing the application of techniques by managers for decision-making, this text explores the basic statistical techniques that are useful for preparing individual business forecasts and long-range plans. The book incorporates instructions on using Excel spreadsheets and MINITAB.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Reference Books	Main Library Reference	Reference	658.40355 HAN (Browse shelf(Opens below))	Available		008113

Total holds: 0

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Previous	658.4035 QUA Quantitative methods for business	658.4035 WAT Quantitative methods for business /	658.40355 Forecasting principles and applications	658.40355 HAN Business forecasting	658.40355 NAS Practical forecasting for managers /	658.4036 KAN Facilitator's guide to participatory decision-making /	658.4038 AXE Management information for marketing decisions	Next

Includes Index.

Ch. 1. Introduction to Forecasting --
Ch. 2. A Review of Basic Statistical Concepts --
Ch. 3. Exploring Data Patterns and Choosing a Forecasting Technique --
Ch. 4. Moving Averages and Smoothing Methods --
Ch. 5. Time Series and Their Components --
Ch. 6. Simple Linear Regression --
Ch. 7. Multiple Regression Analysis --
Ch. 8. Regression with Time Series Data --
Ch. 9. The Box-Jenkins (ARIMA) Methodology --
Ch. 10. Judgmental Elements in Forecasting --
Ch. 11. Managing the Forecasting Process.

Emphasizing the application of techniques by managers for decision-making, this text explores the basic statistical techniques that are useful for preparing individual business forecasts and long-range plans. The book incorporates instructions on using Excel spreadsheets and MINITAB.

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