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Advances in Business and Management Forecasting de Kenneth D. Lawrence

Advances in Business and Management Forecasting

Editat de Kenneth D. Lawrence, Michael D. Geurts
en Limba Engleză Hardback – 23 apr 1998
This study of business management and forecasting covers: forecasting in transportation; forecasting for water and energy; and the applications of forecasting. It includes a case study of the Greek airport system.
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Specificații

ISBN-13: 9780762300020
ISBN-10: 0762300027
Pagini: 266
Dimensiuni: 161 x 240 x 19 mm
Greutate: 0.57 kg
Editura: Jai Press Inc.
Locul publicării:Netherlands

Cuprins

Financial Applications

1. The Application of Neural Network Models and Multiple Discriminant Analysis to Forecast Bond Rating Changes, David Caddar (Quinnipac College)

2. The Cross-Listing, Corporate Governance and Operating Performance-Evidence from the Chinese Market, Chen Shaw (University of Rhode Island)

3. Forecasting Option Spreads: The Use of Multiple Listing, Rebecca Abraham (Nova University

4. Forecasting a Competitive Bid Price, Michael D. Geurts (Brigham Young University)


Demand Forecasting

1. Plans, Predictions and Optimal Management of Supply-Distribution Networks, Frenck Waage (University of Massachusetts, Boston)

2. A Goal Programming Model for Hierarchical Forecasting, J. Gaylord May (Wake Forest University), Joanne N. Sulek (North Carolina AT&T State University)

3. A Linear Dynamic System for Demand Forecasting, Feng Zhang (Fairchild Semi Conductor)

4. A Comparison of Methods for Forecasting Intermittent Demand with Increasing or Decreasing Demand Occurrences, Matt Lindsey (University of Texas, Tyler), Pavar (University of North Texas)


Applications of Forecasting

1. Forecasting with Innovation Diffusion Models: A Life Cycle Example in the Telecommunications Industry, John F. Kros (East Carolina University)

2. United Way of America Annual Campaign: Contribution Forecasting by Major Cities, Marion Sobol (SMU) and Eli Snir (SMU)

3. Forecasting Movie Attendance, Michael D. Geurts (Brigham Young University)

4. Forecasting Women’s Fashion for Retail Stores, Michael D. Geurts (Brigham Young University)


Forecasting Methodologies

1. A Unified Approach to Analyzing Non-Symmetric and Symmetric Regression Models, French wage (University of Massachusetts, Boston)

2. Temporarily Aggregate Models to Improve the Accuracy of Seasonal Forecasts, Steven DeLurgio (University of Missouri, Kansas City)

3. Applying Resampling Schemes to Time Series Analysis, Jae J. Lee (SUNY, New Paltz)

4. Forecasting Comparable Units, Ronald Klimberg (St. Joseph’s University), Kenneth D. Lawrence (New Jersey Institute of Technology), and Sheila M. Lawrence (Rutgers University)

5. Forecasting New Products: Robust Re-weighted Regression Methods, Kenneth D. Lawrence (New Jersey Institute of Technology), Sheila M. Lawrence (Rutgers University), and Ronald Klimberg (St. Joseph’s University)

6. Forecasting Using Intelligent Agents, Daniel O’Leary (University of Southern California)