linear unbiased中文是什么意思

發(fā)音:

中文翻譯
造句

[數(shù)] 線性無偏的

beat linear unbiased eatimate 最佳線性無偏估計(jì)
best linear unbiased estimator 最佳線性不偏估計(jì)量; 最佳線性無偏估計(jì)式; 最優(yōu)線性無偏估計(jì); 最優(yōu)線性無偏估算子
best linear unbiased forecast 最佳線性無偏預(yù)測(cè)
best linear unbiased predictor 最佳線性無偏預(yù)測(cè)式
linear unbiased estimation 線性無偏估計(jì)
unbiased linear estimator 無偏線性估計(jì)式
best linear unbiased estimate, blue 最優(yōu)線性無偏估計(jì) 最良線形不偏推定量
best linear unbiased estimation method 最佳線性無偏估計(jì)法
unbiased adj. 沒有偏見的，不偏不倚的，公平的。
erwartungstreu unbiased 無偏的
unbiased attitude 不偏倚
unbiased conditions 無偏條件
unbiased detector 無偏檢測(cè)器
unbiased error 不偏誤差; 無偏誤差
unbiased estimate 不偏估計(jì); 無偏差的估計(jì); 無偏差估計(jì)量; 無偏估計(jì)量; 無偏估計(jì)值
unbiased estimation 無偏差估計(jì); 無偏估計(jì)
unbiased estimator 不偏點(diǎn)估計(jì)式; 不偏估計(jì)數(shù); 無偏估計(jì)式; 無偏估計(jì)值；無偏估計(jì)量
unbiased ferrite 非磁化鐵
unbiased form 非偏置形式
unbiased graph 無偏圖
unbiased gun 非偏壓電子槍
unbiased judgement 公正評(píng)價(jià)
unbiased mean 無偏平均數(shù)
unbiased partitioning 無偏分割
unbiased predicator 無偏預(yù)測(cè)式

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例句與用法

Canonical correlation coefficient and the best linear unbiased estimation
典型相關(guān)系數(shù)與最佳線性無偏估計(jì)
The robustness of bayes linear unbiased estimations under misspecified prior assumption
線性無偏估計(jì)的穩(wěn)健性
Based on wavelet analysis, wls is the best linear unbiased estimator of regression model parameters in the context of l / f noise
基于小波技術(shù)的wls法是具有1f噪聲的系統(tǒng)回歸模型參數(shù)的最佳線性無偏估計(jì)。
Finally, some illustrative examples are given in this paper as a proof that optimal linear unbiased predictor is a better predictor than others
最后，文章還給出了幾個(gè)實(shí)證研究的例子，證明了最優(yōu)線性無偏預(yù)測(cè)是一種比較好的預(yù)測(cè)方法
Based on the linear unbiased minimum variance estimation theory, an asynchronous fusion algorithm that fused the state vector of linear system with arbitrary correlated noises is developed
摘要基于線性無偏最小方差估計(jì)理論，提出了一種任意相關(guān)雜訊線性系統(tǒng)非同步狀態(tài)向量融合算法。
Through proper linear transformation of the origional model, we obtain the educed models which are all sigular models . we peform the uniform theory of least squares getting the best linear unbiased estimates of the coefficents and the ordinary least squares estimates
因?yàn)檫@時(shí)模型協(xié)方差陣結(jié)構(gòu)仍含有方差參數(shù)，因此我們的目標(biāo)是尋求可行估計(jì)。我們通過對(duì)原模型做適當(dāng)?shù)木€性變換，獲得了導(dǎo)出模型，這些模型都是奇異線性模型。
In the meanwhile, seeing that the parameters are restricted for many practical problems, the author also studies the problems of optimal conditional prediction in the model with respect to two classes of restriction of linear parameter equations . what is more, the optimal conditional linear and optimal conditional ^-linear unbiased predictors are also obtained respectively, which extends the results given by the predecessors and enrich the theory of optimal prediction
考慮到對(duì)于實(shí)際問題，模型參數(shù)一般是要受到一定的約束，因此作者也研究了兩類線性等式約束條件下的模型的最優(yōu)預(yù)測(cè)問題，得到了模型的最優(yōu)條件線性無偏預(yù)測(cè)和最優(yōu)條件-線性無偏預(yù)測(cè)，從而成功地推廣了前人的結(jié)果，豐富了這方面的預(yù)測(cè)理論
We make the following assumption for when 2 is positive definite matrix, different estimators about matrix of regression coefficients and inefficiency of least squares estimate have been discussed in many documents . considered 2 is nonnegative definite matrix, this thesis derives best linear unbiased estimate of parameter matrix b and estimable parameter function kbl under the meaning of matrix nonnegative definite and the property of maximum probability of blue is investigated . next, we discuss some necessary and sufficient conditions of the equality of the lse and blue, then we derive the estimation of the deviation bet-ween the least squares and the best linear unbias estimators of the mean matrix, meanwhile a relative efficiency of lse ofb is proposed and its bound is given
當(dāng)0時(shí)，眾多文獻(xiàn)討論了回歸系數(shù)陣的各種估計(jì)及l(fā)se的有效性，本文考慮了當(dāng)0的情形，給出了回歸系數(shù)陣b及其可估參數(shù)函數(shù)kbl的在矩陣非負(fù)定意義下的最優(yōu)估計(jì)(blue)，研究了它的一個(gè)最大概率性質(zhì)，并且討論了最小二乘估計(jì)成為最佳線性無偏估計(jì)的充分必要條件，在此基礎(chǔ)上給出了均值矩陣的最小二乘估計(jì)與blue的偏差估計(jì)，定義了lse相對(duì)于blue的一個(gè)相對(duì)效率，并給出了它的界。
In this paper, we discussed the procedures of quantiles, maximum-likelihood, probability weighted moments, moments, least square, the best linear unbiased estimate, good linear unbiased estimation, and the best invariant estimate to the parameters of gumbel distribution, then give out the expectation and variance-covariance respectively . we compared the statistical behavior of these eight estimate procedures not only theoretically but also in the monte-carlo simulation
本文利用分位數(shù)法、極大似然法、概率加權(quán)矩法、矩法、最小二乘法、最佳線性無偏估計(jì)法、簡單線性無偏估計(jì)法、最好線性同變估計(jì)法對(duì)gumbel分布中的參數(shù)進(jìn)行估計(jì)，分別給出了這八種估計(jì)量的期望、方差和協(xié)方差。
In this paper, we discussed the procedures of quantiles, maximum-likelihood, probability weighted moments, moments, least square, the best linear unbiased estimate, good linear unbiased estimation, and the best invariant estimate to the parameters of gumbel distribution, then give out the expectation and variance-covariance respectively . we compared the statistical behavior of these eight estimate procedures not only theoretically but also in the monte-carlo simulation
本文利用分位數(shù)法、極大似然法、概率加權(quán)矩法、矩法、最小二乘法、最佳線性無偏估計(jì)法、簡單線性無偏估計(jì)法、最好線性同變估計(jì)法對(duì)gumbel分布中的參數(shù)進(jìn)行估計(jì)，分別給出了這八種估計(jì)量的期望、方差和協(xié)方差。

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