000			01726nam a22002297a 4500
003			MIUC
005			20180509173655.0
008			141124s2012 ncua|||| |||| 001 | eng d
020			_a978113358440
040			_aMIUC _beng _cMIUC
082	0		_a338
100	1		_950 _aOrd, Keith
245	1	0	_aPrinciples of business forecasting / _cKeith Ord, Robert Fildes.
260			_aMason : _bCengage Learning, _cc2012.
300			_axxii, 506 p. : _bill. col. ; _c26 cm.
504			_aIncludes bibliographical references and index.
505	0		_a1. Forecasting, the why and the how -- 2. Basic tools for forecasting -- 3. Forecasting trends: exponential smoothing -- 4. Seasonal series: forecasting and decomposition -- 5. State-space models for time series -- 6. Autoregressive Integrated Moving Average (ARIMA) models -- 7. Simple linear regression for forecasting -- 8. Multiple regression for time series -- 9. Model building -- 10. Advanced methods of forecasting -- 11. Judgment-based forecast -- 12. Putting forecasting methods to work -- 13. Forecasting in practice.
520			_aForecasting techniques are shown in a variety of software platforms and the chapter organization provides an overview of forecasting in a variety of situations using time series and cross-sectional data. The focus then shifts to using extrapolative methods in forecasting, followed by statistical model-building. Finally, the authors cover more advanced techniques in the latter chapters, including the selection of the best forecasting method based on available data and the construction of a forecasting system with an organization.
650		0	_915 _aBusiness forecasting
700	1		_951 _aFildes, Robert
942			_2ddc _cBK