查询词典 variance

And then some ellipses that AUGR estimator is better than the OLS estimator and AUGL estimator is better than the OLS estimator are given, respectively.Second, the definition of the almost unbiased unified biased estimator is proposed. This definition includes the familiar almost unbiased estimators in literatures, and it is the unified expression of the familiar almost unbiased estimators. Followed the biased and variance are compared of AUUB estimator and the unified biased estimator, respectively. AUUB estimator has smaller bias than UB estimator and the variance of AUUB estimator is between the variance of UB estimator and 4 times of the variance of UB estimator. Finally the properties of AUUB estimator are discussed. The conclusion is gained that there are parameters made AUUB estimator is better than OLS estimator in terms of their mean square error. The sufficient and necessary condition that AUUB estimator is admissible is given. The ellipse is given that AUUB estimator is

然后给出了几乎无偏统一有偏估计的定义，该定义包括了文献中常见的几乎无偏估计，实现了常见几乎无偏估计的统一表达式；接下来我们比较了几乎无偏统一有偏估计与统一有偏估计的偏度与方差，得出了几乎无偏统一有偏估计比统一有偏估计有较小的偏度，几乎无偏统一有偏估计的方差介于统一有偏估计的方差与统一有偏估计的方差的四倍之间的结论；最后我们对统一有偏估计的主要性质作了讨论，证明了存在参数K，S使得几乎无偏统一有偏估计在均方误差意义下优于最小二乘估计的结论，给出了几乎无偏统一有偏估计为可容许估计的充要条件，还给出了在均方误差阵意义下几乎无偏统一有偏估计优于最小二乘估计的椭球。

The results showed that:(1) we can mapping quantitative trait locus while estimating the variance component of QTL;(2) granddaughter design is better than daughter design when mapping QTL;(3) it is easy to map a QTL for trait with a high heriability and a large QTL variance contribution;(4) we can estimate the variance component of a QTL by TM-BLUP based on ML method whether the QTL has only 2 alleles or QTL has normal distributed alleles effects;(5) the estimation accuracy of variance component contributed by QTL was improved by using of grand daughter design;(6) the higher the heritability and the QTL variance contribution was, the more accurate estimation of QTL variance component.

结果表明：（1）采用随机QTL效应模型和最大似然法，在估计QTL方差组分的同时，能够定位QTL；（2）孙女设计与女儿设计相比，在其它因素相同时，容易检出QTL；（3）遗传力高，QTL方差贡献较大的性状，QTL检出的效果优于遗传力低，QTL方差贡献较小的性状；（4）无论QTL上有2个等位基因，还是QTL上等位基因的效应服从正态分布，都可将其看作随机效应，采用基于TM-BLUP的ML法，估计其方差组分和定位QTL；（5）QTL方差组分估计的准确性，孙女设计高于女儿设计；（6）遗传力高的性状，QTL方差贡献大的QTL，QTL方差组分估计的准确性高。

Chapter six presents such new concepts as margin utility contribution force, profit-risk exchange rate, state-expectation-variance utility function, long-term expectation-variance utility curve and optimal portfolio expansion curve. The state-expectation-variance analytical method is developed from the expectation-variance analytical method. The changing rate of profit-risk exchange rate to state variable is used to define and distinguish the decreasing, constant and increasing relative risk aversion. A decomposition formula about the margin contribution force of holding wealth to state-expectation-variance utility function is displayed. The decomposition formula demonstrates that the contribution force of investors' holding wealth to their utility is composed of the pure contribution force of holding wealth and the investment contribution force bronght about through investment portfolio.

第六章提出了边际效用贡献力、收益—风险替换率、状态—期望—方差效用函数、长期期望—方差效用曲线、最优证券组合扩展线等新概念；把期望—方差分析方法发展成状态—期望—方差分析方法；用收益—风险替换率对状态变量ω的变化率来定义和区分递减、定常、递增相对风险厌恶；获得了持有财富对状态—期望—方差效用函数的边际贡献力的分解式，该分解公式表明投资者的持有财富对他的效用的贡献力由持有财富本身的纯贡献力和持有财富通过投资证券组合所产生的投资贡献力所组成。

TT models, this paper established a new one of "subject omission", designating the overlapped part of the "input variance" and the "output variance", also the common part in both "semantic translation and "communicative translation". Thus, this new strategy not only gets popular with foreign readers, but also conveys and transferred the original flavor. It effectively absorbs the valid ingredients of the "disembodiment approach, and is proposed as a partly foreignization strategy, which are both initiated in this paper. Starting from the definition and function of subject omission, this paper illustrates its correlations with the characteristics of classical Chinese, features of poetic syntax and translation standard, followed by its close intimacy with the many traits of poetic aesthetics.

本文从马藤和纽马克的翻译模型出发，找到了input variance和 output variance，也即 Semantic Translation 与 Communicative Translation 中重叠的部分，即既能为外语读者所熟悉，又能体现原诗风格意境的结点：主语省略，融合了西洋翻译实验中"脱体句法"的合理成分，建立了诗歌翻译和主语省略关系的新模型，提出了中文诗歌部分异化的策略(与荷尔马斯诗歌翻译策略之三吻合)本文首先从主语省略的定义及功能入手，分别阐述了其与文言文的语言特征，诗歌句法的特征及与翻译标准之间的内在联系，及其与诗歌美学众特征之间的紧密联系。

A Doppler processing approach based on minimum variance distortionless response and resampling technique is proposed for multifrequency radar signals.

提出了一种基于最小方差无失真响应(minimum variance distortionless response， MVDR)算法和频率重采样技术的适用于多频雷达信号的多普勒处理方法。

In order to reduce calculation error, the frequency distribution of average values is used to compute the mixed distribution's digital features of each component distribution, thereinto, the number of the component distribution is determined by AIC, choose the number that meets the minimum value of AIC as the component number of mixed distribution, and the other parameters are estimated by EM algorithm; Secondly, because each component distribution is corresponding to a kind of major gene genotype, according to the values of the average and variance of the each component distribution, we can use the limit error of the normal distribution to plot each individual into the correspondent component distribution, namely into correspondent major gene genotype. Then we regard each major gene genotype as a treatment level of one-way analysis of variances, and the one-way multivariate analysis of variance is carried out to calculate the covariance matrix of major gene effect, covariance matrix of polygene effect, covariance matrix of environment effect and so on; At last, combining the weights of the each component distribution of mixed distribution, we can calculate the variance of major gene effect, the variance of polygene effect, environmental variance and the genetic gain of the quantitative trait.

为减小计算误差，本研究采用均值的频数分布来计算各成分分布的数字特征，其中成分分布个数根据AIC准则，选择使AIC值达到最小的成分分布个数作为混合分布的成分分布数，分布中其它参数的确定利用EM算法来估计；其次，每个成分分布对应一种主基因基因型，根据各个成分分布的均值和方差，利用正态分布的极限误差将每个个体划分到相应的成分分布中，即相应的主基因基因型中，将每种主基因型作为单因素方差分析的一个处理水平，对其进行单因素的多元方差分析，分别计算主基因效应协方差阵、多基因效应协方差阵、环境协方差阵等参数；最后结合混合分布中各成分分布的权重即各主基因基因型的分离比例，计算主基因效应方差，多基因效应方差和环境方差，以及遗传力等参数，进而计算该数量性状的遗传进展。

Thecompare of genetic map between Lowes and ours showed 26 homology marker situ,which occupied 21.1% of the marker situ in the experiment. 81 QTLs were detected for 11 agronomic traits. 4 QTLs were detected for plantheight, which explained 10.3%～28.9% of trait variance; 2 QTLs were detected forNo. of effective 1-st branches, which explained 22.1%～47% of trait variance; 16QTLs were detected for effective branches height, which explained 12.2%～51.8% oftrait variance; 15 QTLs were detected for length of main inflorenscence, whichexplained 7.4%～26.6% of trait variance; 5 QTLs were detected for effective siliquesof main inflorenscence, which explained 11.2%～25% of trait variance; 1 QTLs weredetected for density of main infiorenscence, which explained 17.3% of trait variance;12 QTLs were detected for length of silique, which explained 24%～36.7% of traitvariance; 2 QTLs were detected for seed per sillique, which explained 9.6% and16.9% of trait variance; 2 QTLs were detected for 1000 seed weight, which explained26%～13.7% of trait variance; 11 QTLs were detected for Total effective siliques perplant, which explained 14.8%～47.2% of trait variance; 11 QTLs were detected forplant height, which explained 14.3%～32.8% of trait variance.

其中，株高检测到4个QTLs，解释性状表型变异的10.3％～28.9％；一次有效分枝数检测到2个QTLs，解释性状表型变异的22.1％和47％；有效分枝部位检测到16个QTLs，解释性状表型变异的12.2％～51.8％；主花序长度检测到15个QTLs，解释性状表型变异的7.4％～26.6％；主花序有效角数检测到5个QTLs，解释性状表型变异的11.2％～25％；主花序角密度检测到1个QTLs，解释性状表型变异的17.3％；角果长度检测到12个QTLs，解释性状表型变异的24％～36.7％；每角粒数检测到2个QTLs，解释性状表型变异的9.6％和16.9％；千粒重检测到2个QTLs，解释性状表型变异的26％和13.7％；单株有效角果总数检测到11个QTLs，解释性状表型变异的14.8％～47.2％；单株产量检测到11个QTLs，解释性状表型变异的14.3％～32.8％。

AMOVAresults showed there were 95.99%genetic variance within subpopulations,4.01% genetic variance between subpopulationsfor Schima superba;there were 75.36% genetic variance within subpopulation,24.64%genetic variance between subpopulations for Castanopsis chinensis;there were 89.55%genetic variance within subpopuiations,10.45% genetic variance betweensubpopulations for Cryptocarya chinensis.

AMOVA分析结果表明，荷木有95.99％的遗传变异表现在亚种群内，有4.01％的遗传变异表现在亚种群间，即95.99％的遗传变异是由于个体与个体之间的差异造成的，有4.01％的遗传变异是由于个体在不同的群落造成的；锥栗有75.36％的遗传变异表现在亚种群内，有24.64％的遗传变异表现在亚种群间，即75.36％的遗传变异是由于个体与个体之间的差异造成的，有24.64％的遗传变异是由于个体在不同的群落造成的；厚壳桂有89.55％的遗传变异表现在亚种群内，有10.45％的遗传变异表现在亚种群间，即89.55％的遗传变异是由于个体与个体之间的差异造成的，有10.45％的遗传变异是由于个体在不同的群落造成的。

Finally making enterprises manage better.Because of insufficients in the traditional cluster method ,such as unusual number avulses of data, and kinds of level count difficult to define. The thesis has put forward a method of Restricted Minimum Variance Hierarchical Cluster. Its basic thoughts come from variance analysis .

针对数据中的异常数值，以及类水平数难以确定的问题本论文提出了一种带约束的最小离差系统聚类法(Restricted Minimum Variance Hierarchical Cluster，RMVHC)，其基本思想来自方差分析，即如果分类正确，则类内样品的离差平方和应较小，而不同类间样品的离差平方和应较大。

This paper presents the portfolio selection problem of two-attribute money and creates a model of portfolio selection based on two-attribute money, which can both contain the existing portfolio models and overcome the above-mentioned deficiencies. A series of new concepts is put forward, such as, holding wealth, obtainable wealth, short-term utility function, short-term expectation-variance utility function, state-expectation-variance utility function, short-term expectation-variance utility curve, long-term expectation-variance utility curve, margin utility contribution force, additional contribution force, profit-risk exchange rate and optimal portfolio expansion curve; The state-expectation-variance analytical method is developed from the expectation-variance analytical method; A set of systematic theories concerning two-attribute portfolio selection is thus established.

本文提出了两属性货币的证券组合选择问题；创建了既能包含现有证券组合选择模型又能克服上述两点不足的两属性证券组合选择模型；提出了持有财富、可获财富，短期效用函数，短期期望—方差效用函数、状态—期望—方差效用函数，短期期望—方差效用曲线、长期期望—方差效用曲线，边际效用贡献力，附加贡献力，收益—风险替换率，最优证券组合扩展线等一系列新概念；把期望—方差分析方法发展成状态—期望—方差分析方法；建立了两属性证券组合选择模型的一套系统的理论。

But in the course of internationalization, they meet with misunderstanding and puzzlement.

许多企业已经意识到了这一点，但在国际化的进程中，仍存在一些误区与困惑。

Inorder toaccomplish this goal as quickly as possible, we'll beteamingup with anexperienced group of modelers, skinners, and animatorswhosenames willbe announced in the coming weeks.

为了尽快实现这个目标，我们在未来数周内将公布与一些有经验的模型、皮肤、动画制作小组合作。