| 摘要 |
PROBLEM TO BE SOLVED: To improve predictive accuracy by analyzing the result of sales in the past, extracting the factors of abnormality and performing prediction based on the result excluding the degree of its influence. SOLUTION: Statistically processable events in the past are stored in a statistical factor data base 13, events in future are integrated in an estimate data base 12 and while using the linear polynomial (model expression) of respective statistically processable factors, the number of machines is predicted by statistic processing. At the same time, statistically unprocessable events in the past are stored in an abnormality factor data base 14 and events in future are integrated in the estimate data base 12 so as to add components contributed by statistically unprocessable factors. Besides, respective factors or a predictive model is checked so as to attain improvement in accuracy. |
