Business forecasting

By:

Hanke, John E

Contributor(s):

Wichern, Dean

Material type: Text

TextPublication details: Pearson India Education Services Pvt. Ltd. Noida 2015Edition: 9thDescription: 505 pISBN:

9789332549609

Subject(s):

DDC classification:

658.40355 HAN

Summary: Written in a simple, straightforward style, Business Forecasting 9/e presents basic statistical techniques using practical business examples to teach students how to predict long-term forecasts.

List(s) this item appears in: Operation & quantitative Techniques | Non Fiction

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Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	658.40355 HAN (Browse shelf(Opens below))	1	Available		003556

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Previous	658.4034 WAG Principles of operations research: with applications to managerial decisions	658.40352 ELI Performance evalution of industrial systems: discrete event simulation in using excel /VBA	658.40353 CHA Game theory and business applications	658.40355 HAN Business forecasting	658.4038011 STE Business dynamics	658.404 BAL Project management training: includes all the activities, handouts, tools, and assessments you need to create and deliver powerful, effective training	658.404 CHA Projects: planning, analysis, selection, financing, implementation, and review	Next

Table of Content
1. Introduction to Forecasting.
2. Exploring Data Patterns and Choosing a Forecasting Technique.
3. Moving Averages and Smoothing Methods.
4. Time Series and Their Components.
5. Simple Linear Regression.
6. Multiple Regression Analysis.
7. Regression with Time Series Data.
8. The Box-Jenkins (ARIMA) Methodology.
9. Judgmental Forecasting and Forecast Adjustments.
10. Managing the Forecasting Process.
Appendix A: Derivations.
Appendix B: Data for Case Study 7.1.
Appendix C: Tables.
Appendix D: Data Sets and Databases.

Written in a simple, straightforward style, Business Forecasting 9/e presents basic statistical techniques using practical business examples to teach students how to predict long-term forecasts.

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