• 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。

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  • These fused estimators have consistency.

    这些估值器具有一致性。

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  • Do not show confidence estimators and warnings.

    不显示预估和警告信息。

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  • 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。

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  • Admissibility of linear estimators of Bernoulli distribution mean values under matrix loss.

    矩阵损失下贝努利分布均值的线性估计可容许性。

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  • Consistency and convergence rates of these estimators are given under some mild conditions.

    在适当的条件下,给出了这些估计量的相合性和收敛速度。

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  • The consistency and asymptotic normality behaviors are also investigated for the estimators.

    我们也研究了估计的一致性和渐近正态性质。

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  • This paper considers the single record estimators for cumulants of sinusoids in additive noise.

    本文讨论有噪声污染的谐波信号累量的单一记录估计。

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  • The unified optimal and steady-state white noise and quasi-white noise estimators are presented.

    提出了统一的最优和稳态白噪声和拟白噪声估值器。

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  • Robust and least squares estimators have their own merits and demerits in corresponding conditions.

    抗差估计与最小二乘估计在相应条件下各具优点。

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  • 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。

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  • Then we derive the computation formula for the cross-covariance matrix between any two local estimators.

    然后,推导了任两个局部估计误差之间的互协方差阵的计算公式。

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  • 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。

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  • After deriving the mathematical equations, a comparison between the LS and the ML estimators was performed.

    在获得了相应的数学模型后,对最小二乘估计和最大似然估计方法进行了比较。

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  • This thesis is devoted to the study of multi-variate repeated measures models and comparison of estimators.

    本论文致力于研究多变量重复测量模型及估计的比较问题。论文的内容分为三个部分。

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  • Channel estimators are usually divided into two kind: decision-feedback estimator and pilot-aided estimator.

    信道估计器通常分为两类:判决反馈估计器和导频符号辅助估计器。

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  • 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。

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  • In fact, just the other day one of our estimators was called for a layout request using one of our sign modules.

    我们公司的一个评估分析师最近接到一个请求,对方想要用我们公司的其中一种标识模组做出整体布局方案。

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  • The predicted cost of labour may be obtained from the estimators' data - the estimate for that particular project.

    对劳务费用的估算,可从预算人员对该项工程的估算数据中获得。

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  • In this paper, the Doppler frequency and time-delay estimators of wideband echoes for LFM pulse radar are discussed.

    针对LF M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。

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  • However, the accuracy of traditional flux estimators will be degraded due to perturbations of stator or rotor resistance.

    然而,传统的磁链估计器的精度会因定子或转子电阻的摄动而降低。

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  • The limit distributions of estimators and likelihood ratio test are given, the strong consistency of estimators is also proved.

    证明估计的强相合性和渐近正态性,给出似然比检验统计量的极限分布,并讨论基于精确分布的检验问题。

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  • The estimator got from this algorithm has the smallest variance of error among all linear estimators of reflection coefficients.

    这种方法对反射系数的估计量具有最小误差方差的性质。

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  • Then we propose an improved spectral processing algorithm based on comprehensive analysis of several commonly used SM estimators.

    在分析几种常用的气象回波谱矩估计算法的基础上,提出了一种改进的频域估计算法。

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  • The property of combining ridge and principal components estimate is studied in the ridged class of reduced-dimension estimators.

    研究岭型主成分估计在岭型降维估计类中的性质。

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  • In the third part, we give the admissible estimators of regression coefficients in statistical linear model with or without constraints.

    第三章是关于回归系数的可容许估计,这包括统计线性模型不受约束和受约束的情形。

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  • Spectral decomposition estimators of variance component matrix in mixed linear model are generalized to multivariate mixed linear model.

    考虑含有两个方差分量矩阵的多元混合模型,将一元混合模型下的谱分解估计推广到多元模型下。

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  • Spectral decomposition estimators of variance component matrix in mixed linear model are generalized to multivariate mixed linear model.

    考虑含有两个方差分量矩阵的多元混合模型,将一元混合模型下的谱分解估计推广到多元模型下。

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