节点文献
时间变动序列预测法的实际运用
The time change sequence pre-measurement reality utilizes
【摘要】 目的:以统计学为基础,采用时间变动序列预测。方法:对门诊病人数按时间序列建立趋势模型,外推预测下一时间段的就诊情况。结果:该模型能达到较好的拟合效果(0.9962)和预测精度(99.88%)。
【Abstract】 Objective: Take statistics as the foundation, uses the time change sequence forecast Method: To the outpatient service sickness population on time the sequence establishment tendency model, under the extrapolation forecast for a while the compartment receives a medical examination the situation. Results:This model can achieve the better fitting effect (0.9962) and forecast precision (99.88%)
- 【文献出处】 医学动物防制 ,Chinese Journal of Pest Control , 编辑部邮箱 ,2007年04期
- 【分类号】O213
- 【下载频次】47