Advances in Business and Management Forecasting
Emerald Group Publishing, May 8, 2009 - Business & Economics - 270 pages
The objective of this research annual is to present state-of-the-art studies in the application of forecasting methodologies to such areas as sales, marketing, and strategic decision making. (An accurate, robust forecast is critical to effective decision making). The focus of the research annual is applications - and practitioner-oriented. 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 the 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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Part II Marketing and Demand Applications
Part III Forecasting Methods and Evaluation
Part IV Other Application areas of Forecasting
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Advances in Business analysis approach assumed Bass model Business and Management buying volume cash flows cash mergers chapter cluster coefficient comparable unit count data model data envelopment analysis data mining database demand forecasting density descriptive statistics developed diffusion model dynamic error terms expected warranty costs exponential smoothing models firm firm’s forecasting models fundamental analysis future stock hedge portfolios histogram household informed traders Journal Kalman filter latent trait linear liquidity trading Management Forecasting market makers mean Median method multiple negative binomial negative binomial distribution neural network observed parameters Poisson distribution Poisson regression prediction prediction markets problem propensity to respond ratio regression residual RFM variables risk profile RMSE sample seasonal simulation single-stage GRNN solicitation Standard Deviation statistical stock mergers stock price changes stock returns Table technologies total demand truckload two-stage models values variance warranty execution warranty policy