[Results] The values monitored were of logarithmic normal distribution; unbiased estimations of mean and standard deviation of MLE were 34.
[結(jié)果]該現(xiàn)場勞動衛(wèi)生測定資料服從對數(shù)正態(tài)分布;MLE均值和標(biāo)準(zhǔn)差無偏估計(jì)分別為3 4。
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 .
本文主要從判決理論的觀點(diǎn)出發(fā)，給出使用無偏估計(jì)的條件，求參數(shù)的無偏估計(jì)，在損失為嚴(yán)凸的情況下，先找一個完全統(tǒng)計(jì)量，再找任一無偏估計(jì)＾ｇ（ Ｘ） ，計(jì)算條件期望 Ｅ（＾ｇ｜ Ｔ） 即可。
Unbiased estimation performance for finite snapshots is discussed in this paper.
關(guān)于累量域估計(jì)的研究以前主要著重于漸進(jìn)性能的研究,包括漸近無偏估計(jì)及漸近方差。
Subspace information criterion is a new criterion for model selection,it gives an unbiased estimate for the generalization error under some assumptions.
指出子空間信息準(zhǔn)則是模型選擇的一種新準(zhǔn)則,它在一些假設(shè)條件下,給出推廣誤差的一種無偏估計(jì)。
Proof and the formula on unbiased estimate and the sample size are given.
運(yùn)用沃納模型(Warner model)隨機(jī)化回答技術(shù)解決這一問題,并就該方法給出了無偏估計(jì)的證明和樣本量的計(jì)算公式。
Unbiased estimate of mean square errcr is discussed in this pape
討論了中誤差的無偏估計(jì)。
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.
論述了在獲得在線手寫簽名的曲線的一些局部和全局特征的平均值和方差的無偏估計(jì)的基礎(chǔ)上,通過概率密度函數(shù)進(jìn)而獲取閾值進(jìn)行匹配的鑒別方法。
With the aid of moment expressions,an unbiased estimator is proposed for the Poisson distribution.
借助矩的表達(dá)形式,提出了一種關(guān)于被估參數(shù)的無偏估計(jì)方法。
The unbiased predictor of linear predictable variable and its relationship to unbiased estimator of mean vector in finite populations are investigated.
研究了有限總體均值向量的無偏估計(jì)和線性可預(yù)測變量的無偏預(yù)測之間的關(guān)系,利用分塊矩陣廣義逆直接對加權(quán)風(fēng)險函數(shù)進(jìn)行分解,提出了一種由均值向量的無偏估計(jì)來構(gòu)造無偏預(yù)測的新方法,并找到了它們之間的構(gòu)造關(guān)系。
Image Denoising with Wavelet Threshold Based on SURE Rule;
本文應(yīng)用此閾值函數(shù),基于SURE無偏估計(jì),給出了一種小波自適應(yīng)閾值去噪方法,并用Lenna和Barbara圖做了仿真實(shí)驗(yàn),實(shí)驗(yàn)結(jié)果顯示此方法在最小均方誤差(LMSE)意義上的優(yōu)越性。
Uniformly minimum variance unbiased estimate
方差一致最小無偏估計(jì)
MVUM (Minimum Variance Unbiased Estimator)
極小方差無偏估計(jì)器
asymptotically normal and unbiased estimator
漸近正態(tài)無偏估計(jì)量
Unbiased Estimation and Biased Estimation in the Sense of the Mean Square Error
均方誤差意義下的無偏估計(jì)與有偏估計(jì)
A Study on the Almost Unbiased Estimator in Linear Regression Model;
線性模型參數(shù)的幾乎無偏估計(jì)的研究
Three Unbiased Estimation for Function Under B(n,p);
B(n,p)中函數(shù)p~2的三個無偏估計(jì)量
Building the Unbiased Estimation for θ~2 by Adjusted Coefficient Method;
用修正系數(shù)法構(gòu)造θ~2的無偏估計(jì)
How to Select Unbiased Estimating Function for Empirical Likelihood;
經(jīng)驗(yàn)似然中無偏估計(jì)函數(shù)的選擇問題
BEST LINEAR UNBIASED ESTIMATE METHOD FOR TYPE-Ⅰ CENSORED DATA
定時截尾數(shù)據(jù)最佳線性無偏估計(jì)方法
The Linear Unbiasedness Property of Linear GMDH Parametric Model
線性GMDH參數(shù)模型的無偏估計(jì)研究
Computation of best linear unbiased estimation of Bizarre linear model
關(guān)于奇異線性模型最好線性無偏估計(jì)的計(jì)算
Using Unbiased Estimation Method to Calculate Frequency Response Functions of Simply Supported Beams
用無偏估計(jì)方法計(jì)算簡支梁的頻響函數(shù)
Some Necessary and Sufficient Conditions of The LSE and BLUE in Growth Curve Model;
生長曲線最小二乘估計(jì)和最佳線性無偏估計(jì)相等的幾個充要條件
The BLUE and Spectral Decomposition Estimator in General Linear Mixed Models
一般線性混合模型中的最佳線性無偏估計(jì)和譜分解估計(jì)
Unbiased Estimation for Special Exponential Distributions with Partially Missing Data;
缺失數(shù)據(jù)下特殊指數(shù)分布參數(shù)的無偏估計(jì)
Judgement and Solution Methods of UMVUE;
一致最小方差無偏估計(jì)的判定及其求法
UMVUE of IBNR CLAIMS RESERVES;
IBNR索賠準(zhǔn)備金均勻最小方差的無偏估計(jì)
Dual-observer Passive Ranging Algorithms Based on Unbiased Estimator
基于一種無偏估計(jì)器的雙站被動測距算法