Many estimators are thus left searching for methods that can yield more accurate results. 因此很多评估人员正在寻找那些能产生更精确结果的方法。
In this paper, the smallest risk estimators of regression coefficient in the linear model are investigated. 研究了线性模型中回归系数的最小风险估计问题。
Admissible linear estimators in restricted multivariate regression model 带有线性约束的多元回归模型中回归系数的线性估计的可容许性
At the same time, we also find out the optimal estimators in the class of Location-Scale linear equivariant estimators. 同时也讨论了位置-刻度线性同变估计中的最优估计。
It also makes use of systems redundant information effectively by weighted least squares estimators. 通过加权最小二乘估计来有效地利用系统的冗余信息。
The almost complete convergence rate of the estimators is established under certain conditions which extends the results in the related literature. 并在一定的条件下建立了估计量的几乎完全收敛的速度,推广了现有文献的结果。
In this paper, we derive estimators of parametric and nonparametric components in semiparametric regression model by using local polynomial fitting and LS method. 利用最小二乘局部多项式方法建立了半参数回归模型参数分量、非参数分量和误差方差的局部多项式估计。
In this paper, we analysis the main estimators of the parameters and the volatility of univariate SV models under the framework of warrant pricing. 本文将在权证定价分析的框架内,重点评述SV模型的参数估计方法,并从理论和实证的角度对它们的优点和不足进行简要评介和比较。
In this paper a failure model of mixed generalized exponential distributions ( MGED) is introduced and its estimators for all unknown parameters under full data are obtained by means of EM algorithm. 介绍了混合广义指数分布的失效模型,并运用EM算法给出了模型在完全数据情形下的参数估计方法,最后用数值例子说明了EM算法对本文模型的有效性。
All Admissible Estimators of the Function of Mean Matrix in Multivariate Linear Models 多元线性模型中均值矩阵的函数的所有可容许线性估计
Admissibility for Linear Estimators to Regression Coefficients in a Multivariate Linear Models 多元线性模型中回归系数的线性可容许估计
In this paper a kind of new estimators of noise statistics and adaptive filters of states are put forward in the case that input and output noises of systems are correlative. 本文在系统输入和输出噪声相关的条件下,提出一种新的噪声统计估值器和自适应状态滤波器,应用表明了它的有效性。
We develop imputation estimators of mean of responses for semiparametric varying-coefficient model with response variables missing at random. 在响应变量随机缺失时,研究了半参数变系数模型响应变量均值的借补估计。
How Much Can We Trust Causal Interpretations of Fixed-Effects Estimators in the Context of Criminality? 在犯罪背景中固定效应估计者的原因解释我们能相信多少?
In this thesis, the admissibility and general admissibility of linear estimators in growth curve model with respect to inequality restriction are considered. 本文研究了带有不等式约束的生长曲线模型中线性估计的容许性与泛容许性问题。
All Admissible Linear Estimators of Regression Coefficient in a Linear Model with Respect to an Inequality Constraint 不等式约束下线性模型中回归系数的所有可容许估计
It is considered difficult to analytically prove whether sample probability weighted moments with discrete series are unbiased estimators. 人们普遍认为要从理论上通过数学分析的方法来论证不连序系列样本概率权重矩的偏倚性是很困难的。
A New Class of Estimator and Convergence Property of the Endpoint Estimators; We obtain an upper bounded estimate for the convergence rate of the piecewise linear interpolation. 极值指数估计量和尾端点估计量的收敛性给出了分段线性插值收敛速度的一种估计。
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。
For the multisensor systems with correlated measurement noises and unknown noise statistics, the on-line noise statistics estimators are obtained by the correlation method. 对带相关观测噪声和未知噪声统计的多传感器系统,用相关方法得到噪声统计在线估值器。
Asymptotic Properties of LS-SCAD Estimators in Generalized Linear Models 广义线性模型中LS-SCAD估计的渐近性质
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。
In this paper, the Doppler frequency and time-delay estimators of wideband echoes for LFM pulse radar are discussed. 针对LFM脉冲雷达的宽带回波信号的多普勒频移和时延估计问题进行了研究。
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。
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。
Asymptotic Properties of Estimators in a Censored Semi-parametric Model Under Random Design 随机设计截断半参数模型中估计的渐近性
New Class of Biased Estimators of Coefficients in Linear Regression Models 线性回归模型系数的一个新的有偏估计
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。
Then it can establish the estimators of means and covariance matrix of the multivariate normal distribution, and estimate their confidence limits and intervals in each state. 文中详细讨论了多个状态下二元正态分布均值和方差的无偏估计和置信区间估计。