estimators

We propose local linear estimators of nonparametric regression model under interval-censored covariate.

在因变量区间删失场合下，研究得到了非参数回归模型的局部线性估计。

The Skipped Tanh-Regression Estimators

跳跃型双曲正切回归估计量

Estimators of Parameters in A Single Index Time Series Model

单指标时间序列模型参数估计

These estimators include the signal subspace methods, ESPRIT and WSF. They possess good statistical performance.

子空间类方法 、 esprit和WSF是 几种典型的高分辨方位估计方法, 它们具有良好的统计性能.

Asymptotic properties of some hazard rate function estimators under censored data

随机删失数据下几种风险率函数估计的渐近性质

Admissibility Estimators for Regression Coefficients and Parameters& For Linear Model of General Random Effects With Twe Variance Components Under Normality Condition

回归系数和参数的可容许性估计&对正态条件下具有两个方差分量的一般随机效应线性模型

Estimators put the number of participant in more than 8900 well off the record if authenticated.

北达科他州打算在星期六让人们回忆起雪天使记录.

Asymptotically strongly consistent estimators of τ are given and the hypothesis test and interval estimation are also discussed.

同时也讨论了τ的假设检验和区间估计。

This paper is concerned with the two kernal estimators of regression function censored date.

针对二种回归函数核估计,本文研究了其收敛速度.

Robustness of C-Z Type Estimators on the Loss Function

C-Z型估计量关于损失函数的稳健性

And specially, unifying steady state white noise estimators are also presented for time invariant systems.

特别对时不变系统提出了统一的稳态白噪声估值器。

All k-Admissible Estimators of Regression Coefficients in Multivariate Normal Linear Models with Unknown Error Variance

具有未知误差方差的多元正态线性模型中回归系数的所有k-容许估计

When Gauss-Markov assumptions hold, we need not look for alternative unbiased estimators.

当高斯 - 马尔科夫假定成立时, 我们不需要再去找其它无偏估计量了.

We proved that some empirical Bayes estimators are the best or the best conditional unbiased.

证明了所给出的经验贝叶斯估计量是最优或条件最优无偏预测量.

Specially, we discuss the U-admissibility of several MRE estimators under different loss functions.

特别地, 我们讨论了不同损失函数下的最小风险同变估计的U - 容许性.

Asymptotically exact a-posteriori error estimators for the Quadratic Triangular Element in sense of point to point

二次三角形元逐点意义下渐近准确后验误差估计

Under two usual quadratic loss functions, we obtain some simple conditions under which these pre-test estimators are uniformly better than unbiased estimator. As these conditions only depend on undetermined constants in pre-test estimators, it is easy to implement.

在两种不同的二次损失下，我们得到了这些预检验估计一致的优于无偏估计的简单条件，这些条件都只是预检验估计中待定常数的选取问题，因此很容易实现。

By the augmented state approach, the signal to be estimated can be viewed as a common state of the subsystems, so that the information fusion Wiener estimators and Wiener deconvolution estimators are presented for the multisensor ARMA signals with white and color observation noises.

利用增广状态空间方法，将待估信号看作子系统的公共状态，提出了带白色和有色观测噪声多传感器ARMA信号Wiener估值器和Wiener反卷积估值器。

Research of improvement of Stein estimators of coefficients in linear regression models

线性回归模型系数Stein估计的改进研究

Sequential Adjustment Estimators is a new method the author puts forward to solve this problem.

序贯调整估计量是本论文提出的解决这一问题的新方法.

The present paper covers the loss-robust problem under a class of weighted loss functions and some universal improved estimators. Specially, we give some unequal shrink estimators in Poisson-Means estimation problem.

本文考虑了参数估计在加权损失类下的稳健性问题，在加权损失类下，构造了一致改进估计，并且对Poisson均值参数的同时估计问题，给出了一类更广的不等压缩估计。

Two kinds of estimators were compared under PPS sampling and simple random sampling with replacement.

本文在PPS抽样方案和有效回简单随机抽样方案的情形下构造了这两种估计并精确比较了它们的优劣.

The moment estimators are extended and their strong and weak consistency are proved.

对极值指数之矩估计量作了进一步的推广，并证明了其强、弱相合性。

IAM can obtain certain useful statistical information such as posterior distribution of parameters. By keeping the richness of sample data, IAM is able to reduce the probability of converging at the local optimal area, which advances the quality and speed of final estimators.

IAM算法不仅能够获得参数的后验分布等统计信息，而且可以使样本多样性得以丰富和保持，减少收敛于局部最优区域的可能性，提高参数估计的质量和计算速度。

We also utilize the test statistic to construct the estimators for the number, locations, and jump sizes of the change points in volatility. The asymptotic properties of these estimators are derived.

我们构造了变点的个数、位置以及跳跃幅度的估计量，并且给出了这些估计量的渐近性质。

Estimators put the number of participants in more than 89 hundred well off the record if authenticated.

评估员估计参加者超过了八千九百人,若被验证的话,这一数字完全超出了最高记录.

In particular, we analyze the asymptotic theory of estimation and evaluate various efficient estimators.

特别地，我们分析了统计量的渐进理论，评估了统计量的各种有效性。

The approach yields more precise estimators and more powerful tests.

这种方法产生更严谨的估算人和更强有力的试验.

The asymptotic normality of maximum quasi-likelihood estimators ( MQLEs) in generalized linear models with natural link function and adaptive designs is discussed.

本文研究了在自适应设计和自联系情况下，广义线性模型极大拟似然的渐近正态性性。

Unlike the traditional method, we directly estimate E and the regression parameters without involving the variance function, the link function, the transformation function and the error distribution function, as a result, the efficiency of the estimators will be improved.

更重要的是本文用一个非常简单的方法估计感兴趣的参数，估计过程中不涉及未知的转换函数、联系函数、方差函数及误差分布函数，因此估计的有效性将被极大提高。