无偏估计

WVD瞬时频率无偏估计研究

Unbiased Estimation of Instantaneous Frequency Using the Discrete WVD

该算法通过在每一步估计中消除相位模糊，解决估计精度和估计范围之间的矛盾，并利用最佳线性无偏估计（BLUE）方法进一步提高估计精度。

This algorithm avoids the conflict between estimation accuracy and estimation range by removing the phase ambiguity in every stage , and utilizes the best linear unbiased estimation ( BLUE ) to further improve the estimation accuracy .

基于SURE无偏估计的自适应小波阈值去噪

Adaptive Wavelet Thresholding Denoising method Based on SURE Estimation

刀切不完全U统计量最佳线性无偏估计中的W&K统计量

Jackknifing Incomplete U-statistics W-K Statistics of Best Linear Unbiased Estimate

对于方差分量的线性函数c′σ2的最小范数二次无偏估计，需要求解非线性方程组，一般没有显式解，只能获得迭代解。

Regarding the variance component linear function minimum norm quadratic unbiased estimates , it is needed to solve the nonlinear simultaneous equation .

v，b的自协方差估计b均为渐近无偏估计；

For example , moment estimation (?) , of c_v and autocovariance estimation (?) of b are asymptotically unbiased estimators ;

错误先验假定下Bayes线性无偏估计的稳健性

The Robustness of Bayes Linear Unbiased Estimations under Misspecified Prior Assumption

方差分量的Bayes二次无偏估计及可容许估计的非负性

Bayes Quadratic Unbiased Estimates of Variance Components and Nonnegativity of Admissible Estimates

Weibull分布场合恒定应力加速寿命试验的最优线性无偏估计

Best Linear Unbiased Estimator of Accelerated Life Test Under Weibull Distribution

线性模型中期望和方差分量的联立BAYES最优二次无偏估计

Simultaneous Bayes Quadratic Unbiased Estimators for Expectation and Variance Components in Linear Models

基于一个无偏估计函数和一个历史经验估计的经验Euclidean惩罚似然方法；

Empirical Euclidean penalized likelihood based on an unbiased estimating function and an empirical estimator ;

给出了无偏估计的一类解调序列，提供了一种截获同步CDMA通信系统通信信息的方法。

A class of demodulation sequences of unbias estimation is given . The method is to intercept the information of synchronous CDMA communications .

研究了基于SURE无偏估计的自适应小波软阈值去噪算法，提出一种新的阈值函数族，是一种可微阈值函数的统一表达式。

The adaptive wavelet threshold denoising method based on SURE estimation is investigated and a novel set of threshold functions , which is a uniform expression of differentiable threshold functions , is presented .

然后基于SURE无偏估计、自适应LMS算法和新的阈值函数，又推导出一种自适应小波阈值去噪法&自适应小波阈值相减法。

Then based on SURE unbias estimation , LMS algorithm and the new threshold function , this paper proposes a speech enhancement method called adaptive wavelet coefficients subtraction .

本文给出了VARIOGRAM的一个无偏估计类。

A class of unbiased estimator of variogram is obtained in this paper .

线性GMDH参数模型的无偏估计研究

The Linear Unbiasedness Property of Linear GMDH Parametric Model

在交叉步进应力加速寿命试验中，假定在各组应力下产品的寿命分布为指数分布，对于定数截尾样本，求加速方程中系数的线性无偏估计（BLUE）。

In the alternate stepwise stress accelerated life test , Under type ⅱ censoring of data from Exponential distribution , we give the linear unbiased estimates ( BLUE ) of the coefficients in acceleration equation .

本文研究三种两样本经验Euclidean似然方法：基于两个无偏估计函数的经验Euclidean似然方法；

This paper studies the three methods of empirical Euclidean likelihood for two sample : empirical Euclidean likelihood based on two unbiased estimating functions ;

VARIOGRAM无偏估计类探讨

Unbiased Estimator Class of Variogram

本文给出的理论分析和计算结果不仅具有理论意义，而且对实际应用中如何选用各种定位算法也有实际意义。（3）提出了一种基于椭圆公式的最佳线性无偏估计（BLUE）定位算法。

These conclusions have not only the theoretic benefits but also the practical ones for the selection of positioning approaches . ( 3 ) Present an ellipse based best linear unbiased estimator ( BLUE ) localization algorithm .

MUSIC算法是谱估计算法中的经典算法，它具有测向分辨率高，对信号个数和DOA角度可以进行渐进无偏估计等优点，但是在分辨相关信号时需要进行平滑处理，增加了计算量。

MUSIC algorithm is the classical algorithm to Spectral analysis , and it has many virtues expect that Spatial Smoothing , which the algorithm needs to distinguish correlated signals , result in excess work .

讨论寿命服从单参数GAMMA分布单元平均寿命的极大似然估计和一致最小方差无偏估计；

The maximum likelihood estimate and uniformly minimal variance unbiased estimate ( UMVUE ) of MTTF were made on the one-unit system whose lifetime was assumed to be on GAMMA distribution .

介绍了高斯牛顿法，并把它用于作物水分生产函数Jensen模型参数求解，该方法可使拟合结果逼近无偏估计，从而提高拟合的精度。

This paper introduces Gauss-Newton method and uses it to calculate the parameters of Jensen model of crop water production function .

当前所广泛使用的传递函数估计方法是H1估计和H2估计，这两种估计方法均为有偏估计方法，而近期提出的几种无偏估计方法又存在着不易实现的问题。

Presently , because the existing several unbiased Frequency Response Function estimators are difficult to realize , the most popular and widely-spread used Frequency Response Function estimators are H_1 , and H_2 , although both of them are biased ones .

本文对四舍五入数据构造的经验分布函数调整成为以下形式：从而使Gn（x）是总体分布函数的逐点渐近无偏估计。

In this paper , we made the empirical distribution function of the rounded data into the following form : Then Gn ( x ) has the point wise asymptotically unbiased character .

比较彻底的解决了简单线性EV模型中回归参数的无偏估计的存在性问题，证明了在一些常见的约束下，无偏估计并不存在。

Problem about the existence of the unbiased estimator of regression parameters in the simple linear EV model is thoroughly solved . The non-existent of unbiased estimator under some common restrictions are proved .

随后为了达到降低模型错分率，提高模型预测精度的作用，又对Bagging集成在均等处理无偏估计模型中产生噪音的全过程进行详细分析。

Then in order to reduce misclassification rate , and improve the prediction accuracy . Analyze the whole process of removing noise by using Bagging ensemble to treat the unbiased estimate equally .

本文证明了ρ（组内相关系数）是ρ的渐近无偏估计，讨论了Fisher近似公式的精确性，并提出了新的计算公式。

This paper proves that ρ ( intraclass relative coefficient ) is a asymptotically unbiased estimation of ρ, examines precision of Fisher 's approximate formulae and Puts forward the exact formulae for the sampling variance of ρ .

同时对LS估计的任一线性变换，给出了其均方误差的一个无偏估计，并应用极小化β~（K）的MSE的无偏估计的方法，得到了确定岭参数的公式。

In the meantime , the unbiased estimate of MSE of any linear tranformation of LS estimate β is given , and the formula of determing Ridge parameter is derived by the method of minimized unbiased estimate of MSE .

基于Logistic分布的若干个样本分位数，利用线性回归模型建立Logistic分布位置参数及尺度参数的渐近正态且渐近无偏估计量，得到分布参数的渐近置信估计。

The asymptotic normal and asymptotic unbiased estimation of location parameter and scale parameter is proposed by linear regression model , based on k p i-th quantiles of Logistic distribution simple sample . Then the asymptotic confidence estimation of the parameter is given for Logistic distribution .