000			01365nam a22002297a 4500
999			_c3673 _d3673
005			20221116120901.0
008			221116b ||||| |||| 00| 0 eng d
020			_a9789332549609
082			_a658.40355 _bHAN
100			_aHanke, John E. _94900
245			_aBusiness forecasting
250			_a9th
260			_bPearson India Education Services Pvt. Ltd. _aNoida _c2015
300			_a505 p.
365			_aINR _b750.00
504			_aTable 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.
520			_aWritten 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.
650			_aBusiness forecasting _96021
650			_aBusiness forecasting--Statistical methods _910014
700			_aWichern, Dean _910015
942			_2ddc _cBK