000			aam a22 4500
999			_c114066 _d114066
003			OSt
005			20190115151849.0
008			190115b ||||| |||| 00| 0 eng d
020			_a9789332549609
040			_c
082			_a658.40355 _bHAN
100			_aHanke, Wichern _934479
245			_aBusiness Forecasting
250			_a9th ed
260			_bPearson Education Service Pvt. Ltd. _c2015 _aNoida
300			_a505p
500			_a1. Introduction to Forecasting 2. A Review of Basic Statistical Concepts 3. Exploring Data Patterns and Choosing a Forecasting Technique 4. Moving Averages and Smoothing Methods 5. Time Series and Their Components 6. Simple Linear Regression 7. Multiple Regression Analysis 8. Regression with Time Series Data 9. The Box-Jenkins (ARIMA) Methodology 10. Judgmental Elements in Forecasting 11. Managing the Forecasting Process.
600			_aBusiness - Forecasting _934480
700			_aWichern, Dean _934481
942			_2ddc _cLB _k658.40355 _mHAN