本文研究连续测量数据情况下的混合系数线性模型的参数估计问题.利用压缩估计方法给出该模型的一类有偏估计,研究新估计的一些优良性质,在一定条件下证明这类估计优于s-K估计.
In the paper, we consider a mixed-effect coefficient linear model with the repeatedly measured data. Using the shrunken method, a new biased estimator of the model are given. Under certain conditions, the new estimators are shown to be superior to the s-K estimators, respectively.