Prelims -- Forecasting applications -- Predictive analytics, regression analysis and clustering in forecasting -- Time series, intermittent data and supply chain applications

Bibliographische Detailangaben

Weitere Verfasser:	Lawrence, Kenneth D. (HerausgeberIn), Klimberg, Ronald K. (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	English
Schriftenreihe:	Advances in business and management forecasting v. 12
Schlagworte:	Business forecasting / Methodology Management / Forecasting
Online-Zugang:	FHN01 FWS01 FWS02 UEI01 UER01 Volltext
Zusammenfassung:	Prelims -- Forecasting applications -- Predictive analytics, regression analysis and clustering in forecasting -- Time series, intermittent data and supply chain applications Volume 12, Advances in Business and Management Forecasting, is a blind refereed serial publication. It presents state-of-the-art studies in the application of forecasting methodologies to such areas as supply chain, health care, prospecting for donations from university alumni, and the use of clustering and regression in forecasting. The orientation of this volume is for business applications for both the researcher and the practitioner of forecasting. Volume 12 is divided into three sections: Forecasting Applications, Predictive Analytics and Time Series. An interdisciplinary group of experts explore wide-ranging topics including multi-criteria scoring models, detecting rare events, the assessment of control charts for intermittent data, and fuzzy time series models
Beschreibung:	Includes index Includes bibliographical references Volume 12, Advances in Business and Management Forecasting, is a blind refereed serial publication. It presents state-of-the-art studies in the application of forecasting methodologies to such areas as supply chain, health care, prospecting for donations from university alumni, and the use of clustering and regression in forecasting. The orientation of this volume is for business applications for both the researcher and the practitioner of forecasting. Volume 12 is divided into three sections: Forecasting Applications, Predictive Analytics and Time Series. An interdisciplinary group of experts explore wide-ranging topics including multi-criteria scoring models, detecting rare events, the assessment of control charts for intermittent data, and fuzzy time series models
Beschreibung:	1 Online-Ressource (ix, 212 pages)
ISBN:	9781787430693