预测患者人数：时间序列模型中的共性
Forecasting patient census: commonalities in time series models.
作者信息
Wood S D
出版信息
Health Serv Res. 1976 Summer;11(2):158-65.
Abstract
Highly accurate patient census forecasting models are specified for five hospitals by use of a general equation for integrated autoregressive moving average (IARMA) forecasts. A general census forecasting model, based on features common to all five institution-specific models, is described and its forecasts are compared to those from the specific models.
摘要
通过使用集成自回归移动平均（IARMA）预测的通用方程，为五家医院指定了高度准确的患者普查预测模型。描述了一个基于所有五个特定机构模型共同特征的通用普查预测模型，并将其预测结果与特定模型的预测结果进行比较。
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