岭回归分析是一种非线性的有偏估计方法。
Ridge Regression Analysis is a nonlinear partial estimation method.
本文讨论母体原点矩的线性有偏估计问题。
The problem for linear biased estimation of the population origin moment is discussed in this paper.
为研究基于有偏估计关于两类预测量的最优性判别问题提供了一种方法和思路。
Thus proposes an alternative method for the research of superiority of two predictors based on the biased estimation.
由于统一有偏估计的高度概括性，可以避免重复研究，近年来已得到广泛关注。
Due to its advantage in including so many biased estimations and can avoid repeated study, the United biased estimation has been studied widely.
“母体”与“样本”之所以有两种表达公式，是因为一个是有偏估计，另一个则不是。
The reasons there are two main expressions for population and sample" is that one is biased estimator and the other is not."
此外，还对一种新的约束压缩估计的性质进行了讨论，并从整体上论述了这批有偏估计的容许性。
In this paper is also presented a discussion on the characteristics of a new constrained compression estimation and its admissibility.
本文主要是研究线性模型参数在等式约束和随机线性约束下的约束有偏估计以及预检验估计等相关的一些问题。
In this dissertation, we mainly focused on the restricted biased estimation and preliminary test estimation of parameter in linear models with equality restrictions and stochastic linear restrictions.
本文介绍了文献中常见的线性有偏估计，在此基础上提出和讨论了回归系数的泛岭估计，它是常见线性有偏估计的统一表达形式。
In this paper, based on the linear biased estimates in the present literature, we propose and discuss the universal ridge estimates which is a unitary expression.
方法运用实例和模拟数据说明传统方法灵敏度和特异度的有偏估计，并运用最大似然估计和贝叶斯估计对灵敏度和特异度进行校正。
MethodsComparing the estimate of sensitivity and specificity by traditional, frequency and Bayesian method. The estimators are illustrated using data from reviewing issues and simulating the data.
在广义帕累托分布模型中，门限值过小，极限定理不成立，得到的估计是有偏的；
In GPD model, a too low threshold will get biased estimates because the limit theorem does not apply.
是否有可能(一个估计量)是无偏却不一致的？
Is it possible for an estimator to be unbiased but inconsistent?
本文对降秩多元线性模型的参数阵提出了一类有偏线性估计，讨论了许多重要的性质，从而把降秩模型中参数阵的估计问题转化为满秩模型中参数阵的估计问题。
In this paper we define a class of biased linear estimators for the parameter matrix in the multivariate linear model with deficient rank and discuss some important properties.
本文对降秩多元线性模型的参数阵提出了一类有偏线性估计，讨论了许多重要的性质，从而把降秩模型中参数阵的估计问题转化为满秩模型中参数阵的估计问题。
In this paper we define a class of biased linear estimators for the parameter matrix in the multivariate linear model with deficient rank and discuss some important properties.
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