Methods we introduce the classical robust estimation to generalized additive models 方法將經(jīng)典的穩(wěn)健m估計(jì)方法引入廣義可加模型。
Objective to explore the application of generalized additive models in medical reserch 摘要目的探討廣義加性模型在醫(yī)學(xué)研究領(lǐng)域中的應(yīng)用。
Strong consistency of the nearest neighbor estimates of low dimensional component in additive models 可加模型中低維分量近鄰估計(jì)的強(qiáng)相合性
Conclusion it is necessary to carry out robust estimation to generalized additive models when there are outliers in data 結(jié)論在離群點(diǎn)存在時(shí)對(duì)廣義可加模型進(jìn)行穩(wěn)健估計(jì)是必要的。