Advances in business and management forecasting. Vol. 9 /

Volume 9 of Advances in Business and Management Forecasting aims to present state-of-the-art studies in the application of forecasting methodologies to such areas as sales, marketing, finance, health care, and strategic decision making.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Lawrence, Kenneth D., Klimberg, Ronald K.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Bingley, U.K. : Emerald, 2013.
Colección:Advances in business and management forecasting.
Temas:
Industrial management.
Business forecasting.
Gestion d'entreprise.
Prévision commerciale.
Management & management techniques.
Business & management.
Business & Economics > Management.
Business & Economics > Decision-Making & Problem Solving.
Business & Economics > Forecasting.
BUSINESS & ECONOMICS > Industrial Management.
BUSINESS & ECONOMICS > Management Science.
BUSINESS & ECONOMICS > Organizational Behavior.
Gestion d'entreprises.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Census forecasting in an inpatient rehabilitation facility / John F. Kros [and others]
  • Forecasting activity levels as a baseline for predicting pain and discomfort levels in canines / Virginia M. Miori [and others]
  • Forecasting patient volume for a large hospital system : a comparison of the periodicity of time series data and forecasting approaches / Kristin Kennedy [and others]
  • Estimation of penalty costs in service industries / Amitava Mitra, Jayprakash G. Patankar
  • Price dynamics on earning announcement / Xuan Huang, Nuo Xu
  • How to lessen the disposition effect? : it pays to study before investing / Min-Hua Kuo, Shaw K. Chen, Shao-Shing Chen
  • Forecasting U.S. cotton prices in a changing market / Olga Isengildina-Massa, Stephen MacDonald
  • Macro econometric models to predict the NAV of an asset allocation fund, VWELX / Kenneth D. Lawrence [and others]
  • Applying technology forecasting to new product development target setting of LCD panels / Dong-Joon Lim, Neil Runde, Timothy R. Anderson
  • Hybrid neural network model in forecasting aggregate U.S. retail sales / Youqin Pan, Terrance Pohlen, Saverio Manago
  • A methodology for combining biased demand forecasts / Joanne Utley
  • Assessing a modification to Croston's method to incorporate a seasonal component / Matthew Lindsey, Robert Pavur
  • Predicting the performance of a two-stage flowshop : lower bounds and heuristics for single and bicriteria measures / Mark T. Leung.

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