查询词典 estimators

Under weighted squared error loss, it is showed that a least favorable prior, when estimators are restricted to be polynomials of X with degree no more than k, exists and has at most (k+2)-point support, and its Bayes solution, under above restriction, is a k/sup th/ polynomial minimax estimator.

是观测值X的期望值，在X的多项式函数中，於加权平方误差损失之下，本文考虑使其最大风险最小化的多项式大中取小估计式。

Want to think about how spread out this distribution is.This allows us to choose the best estimator among all, or at least a broad class of, the unbiased estimators.

了解这一点，将对我们如何能够在所有的估计量中，或至少在无偏估计量这一类估计量中选出最优的一个具有一定的指导意义。

The estimators have all the nice properties of MLE and least square estimator, such as the asymptotic properties of MLE or those of a best linear unbiased estimator.

六、这个新方法同时具有极大可能性估计方法与最小平方估计方法的良好统计特质，例如极大可能性估计方法的渐近收敛性质和最小平方估计方法的最佳缘性不偏特性。

Based on the central limit theorem, we can show that OLS estimators are asymptotically normal

基于中心极限定理，我们能够证明OLS估计量是渐近正态。

Recently many of statisticians have been interested in the functional coefficient model because of its simplifying structure, meaningful interpretation and wide application. In the chapter 2, estimators of parameters of linear functional coefficient structural model under interval-censored covariate studied.

由于协变量区间删失，为此我们创立了一个与协变量具有相同均值的变量，然后利用加权最小二乘估计法得到了变系数一维线性结构关系模型中的参数估计，当协变量的分布已知时，证明了估计的弱相合性和强相合性。

And we propose a criterion named PICa based on the adjusted profile log-likelihood function which has been used to reduce the bias of the variance component estimators.

从修正偏差的角度出发，我们采用了调整的profile似然函数作为损失函数，并基于信息论的理论基础，提出了一个新的变量选择准则PICa。

Weapply the kernel methods of regression functions and conditional density functions to obtain aseries ofβas the estimators ofβ.

回归函数核估计方法中，又分别提出了在选定连续样本点和离散样本点时的两种非参数估计模型，并对这两种模型做了详细的阐述。

We apply the kernel methods of regression functions and conditional density functions to obtain a series of as the estimators of . Then using Monte Carlo Analysis method , we can get the optimal choice of the unknown parametric that is . Examples illustrate the models and will show this estimation is effective.

应用回归函数核估计和条件密度函数的核估计方法估计未知量，将得到的一组估计值用Monte Carlo Analysis方法处理便得到最优的，并通过算例模拟讨论以上估计方法的优劣。

For the purpose of evaluating the efficacy of description dosage in a clinical trial in which compliance is observed, a new parameter estimation method is proposed for a structure linear model based on the combination of least square and pseudo-likelihood , and under general regular conditions, the consistency and asymptotic normality of the estimators are verified.

为了研究依从性对药物效果的影响，对一种结构线性模型，结合最小二乘和拟似然的思想，提出了一种新的参数估计方法，并在一般的条件下，证明了参数估计的相合性和渐近正态性。

The linear structural EV model studied in the paper can be written aswhere are the observations and measurement error of Xi and yi respectively ,and ij, Xi, ij are p-vectors .The paper presents the estimators of ,.Under some suitable conditions ,strong consistency is obtained .

对于一般线性结构型EV模型，即ξ_=X_i+δ_，η_=y_i+ε_=α+X_i′β+ε_，j=1，…n_i；i=1，…，k，…(0.2)其中ξ_(ij，η_，δ_，ε_分别是自变量X_i和因变量y_i的观测值和观测误差，ξ_，X_i，δ_是p维向量本文给出了参数β，α的估计，并在适当条件下，得到了估计的强相合性。

Panorama Many people are dancing in a large sitting room.

在一个大客厅里，许多人在跳舞。

We fully understand how a microwave oven cooks food, it is first necessary to talk ...

我们充分理解一个微波炉煮的食物，这是首先要谈。。。