Advances in Business and Management Forecasting

Advances in Business and Management Forecasting

Geurts, Michael D.; Lawrence, Kenneth D.

Emerald Publishing Limited

02/2006

300

Dura

Inglês

9780762312818

15 a 20 dias

597

Descrição não disponível.
Forecasting and the Supply Chain. Forecasting in Supply Chain Management. (K.D. Lawrence, S.M. Lawrence, R. Klimberg). Extracting Forecasts from Advance Orders. (F. Waage). Inventory Shipment Ratio Time Series Models for Durable and Non-Durable Products. (S. Mitra). Forecasting and Financial Applications. An Application of Confirmatory Factor Analysis to the A Priori Classification of Financial Ratios. (S.K. Chen, A.D. Olinsky). Bank Rating Change Predictions Alternative Forecasting Models. (D.T. Cadden, V. Driscoll). Forecasting Security Returns: The Use of Heterogeneous Expectations. (R. Abraham, C.W. Harrington). Sales Forecasting. Combining Moving Averages with Exponential Smoothing to Produce More Stable Sales Forecasts. (T.S. Dhakar, C.P. Schmidt, D.M. Miller). Improved Exponential Smoothing with Applications to Sales Forecasting. (T.S Dhakar, C.P. Schmidt, D.M. Miller). Using Flow through and Diffusion Models to Forecast New Product Sales. (M.D. Geurts, D. Whitlark). An Application of a Repeat Purchase Diffusion Model to the Pharmaceutical Industry. (F.J. Carter et al.). Forecasting Product Sales with Conjoint Analysis Data.(D. Whitlark). Improving Sales Forecasts by Testing Underlying Hypotheses about Consumer Behavior: A Proposed Qualitative Method. (E.D DeRosia, G.L. Christenson, D.B. Whitlark). Forecasting Methods and Analysis. Forecasting Sales of Comparable Units with Data Envelopment Analysis. (R. Klimberg, K.D. Lawrence, S.M. Lawrence). Data Mining Reliability: Model-Building with MARS and Neural Networks. (R.J. Lierano, E.S. Kyper). Selecting Forecasting Intervals to Increase Usefulness and Accuracy. (M.D. Geurts). Forecasting Simultaneous Brand Life Cycle Trajectories. (F. Waage). A Typology of Psychological Biases in Forecasting Analysis. (P. Dishnum). A Forecast Combination Methodology for Demand Forecasting. (J.G. May, J.M. Sulek).
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