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| ADVANCES IN BUSINESS AND MANAGEMENT FORECASTING, 5
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Edited By
Kenneth D Lawrence, New Jersey Institute of Technology, USA
Michael Geurts
Included in series
Advances in Business and Management Forecasting,
Description
Advances in Business and Management Forecasting is a blind refereed serial publication published on an annual basis. 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.) It is the hope and direction
of the research annual to become an applications and practitioner-oriented publication.
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.
In Volume 5, there
are sections devoted to financial applications of forecasting, as well as demand forecasting. There is, also, a section on general business
applications of forecasting, as well as one on forecasting methodologies.
Audience
Practitioners in business and management forecasting
Contents
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)
| Bibliographic details |
Hardbound, 312 pages, publication date: FEB-2008
ISBN-13: 978-0-7623-1478-2
Imprint: JAI
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Price:
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Last update: 9 Nov 2009
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