自回归条件异方差模型在医学数据分析中的应用

Application of Autoregressive Conditional Heteroscedasticity on the Medical Data Analysis

为探讨自回归条件异方差模型在医学数据分析中的应用效果 ,采用自回归条件异方差模型对实例进行了分析 ,并与多元回归分析结果进行了比较。结果显示 ,当数据方差不齐时 。

Exploring the effect of Autoregressive Conditional Heteroscedasticity on medical data analysis. Method The data was fitted by Autoregressive Conditional Heteroscedasticity, and the result was contrasted with that fitted by Multiple variable regression. Autoregressive Conditional Heteroscedasticity can be used to analyze data incapable of being fitted by parameter models.