biased estimate

基本解釋

In this paper, a new biased estimate, which is called the united regression estimate(URE), is proposed for the regression coefficient in multivariate linear models.
本文提出了多元線性模型回歸系數(shù)的一種新的有偏估計(jì)—聯(lián)合回歸估計(jì)。
On the basis the parameters are separated for the biased estimate by means of partial prior knowledge, and unbiased estimates of all parameters to be evaluated are obtained.
在此基礎(chǔ)上，用部分驗(yàn)前知識(shí)，進(jìn)一步對(duì)該有偏估計(jì)作了參數(shù)分離，從而得到全部待估參數(shù)的無(wú)偏估計(jì)。
Finally, we obtained three robust biased model fitting methods which were called as robust principal component estimate, robust ridge estimate and robust root-root estimate respectively.
三種方法分別是穩(wěn)健主成分估計(jì)、穩(wěn)健嶺估計(jì)和穩(wěn)健根方估計(jì)。