1) unbiased confidence estimation
无偏置信估计
2) unbiased estimation
无偏估计
1.
[Results] The values monitored were of logarithmic normal distribution; unbiased estimations of mean and standard deviation of MLE were 34.
[结果]该现场劳动卫生测定资料服从对数正态分布;MLE均值和标准差无偏估计分别为3 4。
2.
By using the theory of judgement as a starting point the condition of unbiased estimation was offered so as to obtain the unbiased estimation of the parameter when loss was strictly convex .
本文主要从判决理论的观点出发，给出使用无偏估计的条件，求参数的无偏估计，在损失为严凸的情况下，先找一个完全统计量，再找任一无偏估计＾ｇ（ Ｘ） ，计算条件期望 Ｅ（＾ｇ｜ Ｔ） 即可。
3.
Unbiased estimation performance for finite snapshots is discussed in this paper.
关于累量域估计的研究以前主要着重于渐进性能的研究,包括渐近无偏估计及渐近方差。
3) unbiased estimate
无偏估计
1.
Subspace information criterion is a new criterion for model selection,it gives an unbiased estimate for the generalization error under some assumptions.
指出子空间信息准则是模型选择的一种新准则,它在一些假设条件下,给出推广误差的一种无偏估计。
2.
Proof and the formula on unbiased estimate and the sample size are given.
运用沃纳模型(Warner model)随机化回答技术解决这一问题,并就该方法给出了无偏估计的证明和样本量的计算公式。
3.
Unbiased estimate of mean square errcr is discussed in this pape
讨论了中误差的无偏估计。
4) unbiased estimator
无偏估计
1.
A verification technique,which obtains unbiased estimator for the means and variance of several global and local features is presented and a matching way after acquiring the threshold by probability density function is achieved.
论述了在获得在线手写签名的曲线的一些局部和全局特征的平均值和方差的无偏估计的基础上,通过概率密度函数进而获取阈值进行匹配的鉴别方法。
2.
With the aid of moment expressions,an unbiased estimator is proposed for the Poisson distribution.
借助矩的表达形式,提出了一种关于被估参数的无偏估计方法。
3.
The unbiased predictor of linear predictable variable and its relationship to unbiased estimator of mean vector in finite populations are investigated.
研究了有限总体均值向量的无偏估计和线性可预测变量的无偏预测之间的关系,利用分块矩阵广义逆直接对加权风险函数进行分解,提出了一种由均值向量的无偏估计来构造无偏预测的新方法,并找到了它们之间的构造关系。
6) SURE
[英][ʃʊə(r)] [美][ʃur]
SURE无偏估计
1.
Image Denoising with Wavelet Threshold Based on SURE Rule;
本文应用此阈值函数,基于SURE无偏估计,给出了一种小波自适应阈值去噪方法,并用Lenna和Barbara图做了仿真实验,实验结果显示此方法在最小均方误差(LMSE)意义上的优越性。
补充资料：无偏估计
无偏估计
【无偏估计】参数的样本估计值的期望值等于参数的真实值。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条