TY  - BOOK
AU  - Hanke, John E.
AU  - Wichern, Dean 
TI  - Business forecasting
SN  - 9789332549609
U1  - 658.40355 
PY  - 2015///
CY  - Noida
PB  - Pearson India Education Services Pvt. Ltd.
KW  - Business forecasting
KW  - Business forecasting--Statistical methods
N1  - 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
N2  - 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
ER  -