000			01664cam a2200277 a 4500
008			090712s2009 njua b 001 0 eng
010			_a2007044011
020			_a0135009332
035			_a(Sirsi) u2052
040			_aEG-CaNU _cEG-CaNU _dEG-CaNU
042			_ancode
082	0	0	_a658.40355 _2 22
100	1		_aHanke, John E., _d 1940- _93429
245	1	0	_aBusiness forecasting / _c John E. Hanke, Dean W. Wichern.
250			_a9th ed.
260			_aUpper Saddle River, N.J. : _b Pearson/Prentice Hall, _c c2009.
300			_axvii, 551 p. : _b ill. ; _c 27 cm.
504			_ancludes bibliographical references and index.
505	0		_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 Forecasting and Forecast Adjustments -- 11. Managing the Forecasting Process
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		0	_aBusiness forecasting. _93430
700	1		_aWichern, Dean W. _93355
596			_a1
999			_c1143 _d1143