000			02133nam a22002297a 4500
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020			_a9780987507136
040			_aB-IKIAM
041			_aENG
082			_a338.544 _bH997/2021
100			_92945 _aHyndman, Rob J.
245			_aForecasting _bPrinciples and Practice _cRob J, Hyndman; George, Athanasopoulos
250			_a3° Edición
260			_aAustralia _bOTEXTS _c2021
300			_a442 páginas _bMapas, tablas, figuras _c24.5 cm
505			_aContents -- Preface -- 1.Getting started -- 2.Time series graphics -- 3.Time series decomposition -- 4.Time series features -- 5.The forecaster’s toolbox -- 6.Judgmental forecasts -- 7.Time series regression models -- 8.Exponential smoothing -- 9.ARIMA models -- 10. Dynamic regression models -- 11.Forecasting hierarchical and grouped time series -- 12.Advanced forecasting methods -- 13.Some practical forecasting issues -- Appendix: Using R -- Bibliography -- Index
520			_aForecasting is required in many situations. Deciding whether to build another power generation plant in the next five years requires forecasts of future demand. Scheduling staff in a call centre next week requires forecasts of call volumes. Stocking an inventory requires forecasts of stock requirements. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly. Examples use R with many data sets taken from the authors' own consulting experience. In this third edition, all chapters have been updated to cover the latest research and forecasting methods. One new chapter has been added on time series features. The latest version of the book is freely available online at http: //OTexts.com/fpp3.
650		0	_aFORECASTING
700			_92946 _aGeorge Athanasopoulos
942			_2ddc _aB-IKIAM _b04-02-2025 _cBK _zK.R
999			_c2409 _d2409