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时间序列模型在预测临床血液需求量中的应用

ime Sequence Analysis Applying for Forecasting Clinical Blood Demand

中文摘要英文摘要

应用时间序列模型对临床血液需求量进行预测。利用时间序列的复合模型对2005~2008年的数据建模,预测2008年和2009年各季节临床血液需求量,并将2008年预测值与实际值比较,检验模型的预测能力。结果 对所分析的季节性时间序列建立了Y=T•S•C模型 ,平均预测相对误差为1.0% 。 结论 时间序列的复合模型能较好的分析临床血液需求量同季节的关系,并有较强的预测能力,从而为血液中心的库存量预测提供了有效的工具。

bstract: Objective Apply the time sequence for forecasting the demand of clinical blood. Methods Time sequence compound model was applied to establish a model based on the data obtained from the years 2005 to 2008, and forecast the seasonal demand of clinical blood of 2008 and 2009 years ,then compare the predictive value with the actual value of 2008 year to test the ability of model. Results Model of compound model Y=T•S•C was established for the time series needing analyzing with an average relative error of 1.0 %. Conclusion Time sequence compound model can analyze the relationship between clinical blood demand and different seasons with better predict effect , Its strong predictable ability can afford an effective tool for Inventories of blood center.

吕霞、薛茜、王岩

医药卫生理论医学研究方法临床医学

时间序列模型预测血液需求量

ime series modelForecastBloodemand

吕霞,薛茜,王岩.时间序列模型在预测临床血液需求量中的应用[EB/OL].(2009-02-11)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/200902-508.点此复制

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