Normal view MARC view ISBD view

Practical forecasting for managers /

By: Nash, John CContributor(s): Nash, Mary MMaterial type: Text

TextPublication details: London : New York : Arnold ; Oxford University Press, 2001Description: xvi, 296 p. : illustrationsISBN: 9780340762387 ; 0340762381Subject(s): Business forecasting | ManagementDDC classification: 658.40355 Online resources: Click here to access online | Click here to access online

Contents:

Ch. 1. Why forecast? -- Ch. 2. Planning the forecasting task -- Ch. 3. Measuring how well forecasting goals are met. Part 1 -- Ch. 4. Data search, gathering, documentation and management -- Ch. 5. Qualitative forecasting: long-term -- Ch. 6. Semi-quantitative methods -- Ch. 7. Forecasting, Risk, and Strategic Management -- Ch. 8. Measuring how well forecasting goals are met. Part 2 -- Ch. 9. Preliminary data analysis for forecasting -- Ch. 10. The preliminary forecast: concepts and examples -- Ch. 11. A strategy for performing forecasting data analysis -- Ch. 12. Forecasting trend and season I: Multiple regression -- Ch. 13. Forecasting trend and season II: Smoothing methods -- Ch. 14. Forecasting trend and season III: Time series decomposition -- Ch. 15. ARIMA and related models for forecasting -- Ch. 16. Using ARIMA models: other issues and examples -- Ch. 17. Comparing and combining forecasts -- Ch. 18. Variations on the theme of seasonal adjustment -- Ch. 19. Mixed and extended models -- Ch. 20. Nonlinear regression modelling -- Ch. 21. Artificial neural networks -- Ch. 22. Building the forecast report.

Summary: The key emphasis of this book is on the practical application of ideas, focusing on straightforward ideas that can be understood, explained, and put into action. More advanced methods are covered, but they are treated in the general context of forecasting and are easily understood and useable. Topics of stategic interest, such as long-term and qualitative forecasting for use in planning new products and services, as well as tactical and short-term quantitiative forecasting are presented in a clear and logical style. Many small tools and tricks to ease the job of actually preparing forecasts, expecially concerning the use of computers, are included and calculations are illustrated using spreadsheet software and a statistical package that is available on the internet. In making decisions, we all make forecasts. We may not think that we are forecasting, but our choices will be directed by our anticipation of results of our actions or omissions. This book aims to help managers improve their forecasting skills.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings ( 2 )
Title notes ( 2 )
Comments ( 0 )

Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Lending Books	Main Library Stacks	Reference	658.40355 NAS (Browse shelf(Opens below))	Available		008738
Reference Books	Main Library Reference	Reference	658.40355 NAS (Browse shelf(Opens below))	Available		008152

Total holds: 0

Browsing Main Library shelves, Shelving location: Stacks, Collection: Reference Close shelf browser (Hides shelf browser)

Previous			No cover image available					Next
Previous	658.40352 HAL Computer models for operations management	658.40355 DEL Forecasting principles and applications	658.40355 MAK Forecasting : methods and applications	658.40355 NAS Practical forecasting for managers /	658.4036 SCO Achieving consensus : tools and techniques	658.4038 ASS Information Management & Application in Business - Intermediate Examination	658.4038 AXE Management information for marketing decisions	Next

Ch. 1. Why forecast? --
Ch. 2. Planning the forecasting task --
Ch. 3. Measuring how well forecasting goals are met. Part 1 --
Ch. 4. Data search, gathering, documentation and management --
Ch. 5. Qualitative forecasting: long-term --
Ch. 6. Semi-quantitative methods --
Ch. 7. Forecasting, Risk, and Strategic Management --
Ch. 8. Measuring how well forecasting goals are met. Part 2 --
Ch. 9. Preliminary data analysis for forecasting --
Ch. 10. The preliminary forecast: concepts and examples --
Ch. 11. A strategy for performing forecasting data analysis --
Ch. 12. Forecasting trend and season I: Multiple regression --
Ch. 13. Forecasting trend and season II: Smoothing methods --
Ch. 14. Forecasting trend and season III: Time series decomposition --
Ch. 15. ARIMA and related models for forecasting --
Ch. 16. Using ARIMA models: other issues and examples --
Ch. 17. Comparing and combining forecasts --
Ch. 18. Variations on the theme of seasonal adjustment --
Ch. 19. Mixed and extended models --
Ch. 20. Nonlinear regression modelling --
Ch. 21. Artificial neural networks --
Ch. 22. Building the forecast report.

The key emphasis of this book is on the practical application of ideas, focusing on straightforward ideas that can be understood, explained, and put into action. More advanced methods are covered, but they are treated in the general context of forecasting and are easily understood and useable. Topics of stategic interest, such as long-term and qualitative forecasting for use in planning new products and services, as well as tactical and short-term quantitiative forecasting are presented in a clear and logical style. Many small tools and tricks to ease the job of actually preparing forecasts, expecially concerning the use of computers, are included and calculations are illustrated using spreadsheet software and a statistical package that is available on the internet.

In making decisions, we all make forecasts. We may not think that we are forecasting, but our choices will be directed by our anticipation of results of our actions or omissions. This book aims to help managers improve their forecasting skills.

There are no comments on this title.

to post a comment.