Abstract
A new class of models is proposed for use in economic correlation and forecasting. The new model, called the multivariable polynomial regression (MPR) model, is essentially a multiple regression model with polynomial and cross product (interaction) terms. The MPR model is illustrated by applying it to correlation of the performance of retail stores to a set of 13 potential causative variables.
| Original language | English |
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| Pages | 252-258 |
| Number of pages | 7 |
| State | Published - 1996 |
| Event | Proceedings of the IEEE/IAFE 1996 Conference on Computational Intelligence for Financial Engineering, CIFEr - New York, NY, USA Duration: 24 Mar 1996 → 26 Mar 1996 |
Conference
| Conference | Proceedings of the IEEE/IAFE 1996 Conference on Computational Intelligence for Financial Engineering, CIFEr |
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| City | New York, NY, USA |
| Period | 24/03/96 → 26/03/96 |