Advances in Business and Management Forecasting: Advances in Business and Management Forecasting
Autor Kenneth D. Lawrence, Michael D. Geurtsen Limba Engleză Hardback – 16 feb 2006
The topics will normally include sales and marketing, forecasting, new product forecasting, judgmentally based forecasting, the application of surveys to forecasting, forecasting for strategic business decisions, improvements in forecasting accuracy, and sales response models. It is both the hope and direction of the editorial board to stimulate the interest of the practitioners of forecasting to methods and techniques that are relevant.
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Specificații
ISBN-13: 9780762312818
ISBN-10: 0762312815
Pagini: 300
Dimensiuni: 155 x 234 x 432 mm
Greutate: 0.55 kg
Editura: Emerald Publishing
Seria Advances in Business and Management Forecasting
ISBN-10: 0762312815
Pagini: 300
Dimensiuni: 155 x 234 x 432 mm
Greutate: 0.55 kg
Editura: Emerald Publishing
Seria Advances in Business and Management Forecasting
Public țintă
Researchers and students in the business, economics, management, and social science fieldsCuprins
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).
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).