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component of variance相关的网络例句

查询词典 component of variance

与 component of variance 相关的网络例句 [注:此内容来源于网络,仅供参考]

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%。

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。

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。

CBFEC emphasizes direct correspondence of concepts in EC with its software architecture for ease of understanding and using; minimal coupling with specific problem structure for easy adaptation it to solve a large number of wholly different problems; interface-centered design for extendibility. To achieve those objects, the problem-solving method of EC is analyzed and the problem-solving procedure of EC is divided into three interactive aspects: population-based stochastic searching mechanism, problem specific information to implicitly guide the stochastic searching, and the observation and control of the computation procedure of EC. Then the key concepts of EC are identified in those three aspects; the normal implementations of those concepts are summarized; the interfaces represents those concepts in software are abstracted; the collaborations of components through those interfaces are designed. CBFEC is implemented on mainstream component software platform COM/DCOM (Component Object Model/Distributed COM from Microsoft), which includes interfaces definitions, commonly using EC components implemented those interfaces, such as Simply EA component, Steady State EA component, EA component, EA component, Population component, Tournament Selection component, Linear Ranking Selection component, Nonlinear Ranking Selection component, Random Number Generator component, etc, and the collaborations of those components through those interfaces.

具体的做法是把演化计算看作是基于组件的软件工程的一个应用领域:首先分析了演化计算求解问题的一般思路和方法,把演化计算问题求解过程分为:"设计基于群体的随机搜索机制"、"研究问题的性质并以此隐含地定义算法的搜索方向"和"求解过程的观察与控制"三个部分;然后分别找出各个部分中的关键概念,总结这些概念现有的一般实现方法,抽取其本质,以此结合设计模式来定义组件软件的接口;通过分析演化计算各个概念之间的相互联系来设计组件软件间通过接口的进行交互的方式;最后还在目前一种主流组件软件开发平台COM/DCOM(微软提出的组件对象模型)的基础上实现了常用的演化计算组件,如简单演化算法组件、稳态演化算法组件、演化算法组件、演化算法组件、种群组件、锦标赛选择策略组件、线性排名选择策略组件、非线性排名选择策略组件、随机数发生器组件等等。

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。

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。

In this article, by exploiting flanking markers through the widely applied half-sib design, we have developed the structures of three variance components, i.e., variance component between marker genotypes, polygenic variance component and recombinant variance component within marker genotypes.

该文在侧翼标记情况下利用广泛使用的半同胞设计提出了3种方差组分,即标记组间方差、组内多基因方差和组内重组方差及其构成。

The high melt strength polypropylene resin consists of component A of original eco-tourism, component B of polyvinyl resin category, component C of acrylics compound, wherein the percentage by weight of the component A is 50 percent to 94.5 percent, the percentage by weight of the component B is 5 percent to 40 percent, the percentage by weight of the component C is 0.5 percent to 10 percent; the optimized scope of the percentage by weight of the component B is 10 percent to 40 percent, the optimized scope of the percentage by weight of the component C is 1 percent to 10 percent.

高熔体强度聚丙烯树脂由A组分为原生态聚丙烯树、B组分为聚乙烯树脂类,C组分为丙烯酸酯类化合物组成;其中A组分的重量百分比为50%~94.5%,B组分的重量百分比为5%~40%,C组分的重量百分比为0.5%~10%;其B组分的重量百分比的最优范围为10%~40%,C组分的重量百分比的最优范围为1%~10%。

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。

A chromium free conversion coating at least equivalent in corrosion protective quality to conventional chromate conversion coatings can be formed on metals, particularly cold rolled steel, by a dry-in-place aqueous acidic liquid comprising: a component of anions, each of said anions consisting of at least four fluorine atoms and at least one atom of an element selected from the group consisting of titanium, zirconium, hafnium, silicon, and boron, and, optionally, ionizable hydrogen atoms, and optionally, one or more oxygen atoms; a component of cations of elements selected from the group consisting of cobalt, magnesium, manganese, zinc, nickel, tin, zirconium, iron, and copper; the ratio of the total number of cations of this component to the total number of anions of component being at least 1:5; sufficient free acid to give the composition a pH in the range from 0.5 to 5.0; a component selected from the group consisting of phosphorus-containing inorganic oxyanions and phosphonate anions; and a component selected from the group consisting of water-soluble and water-dispersible organic polymers and polymer-forming resins and, preferably, also including a component selected from the group consisting of tungstate, molybdate, silicotungstate, and silicomolybdate anions.

通过对包含以下成分的含水酸性液体进行干燥,可以在金属上形成无铬的转换涂层,该涂层与普通铬酸盐转换涂层相比,至少在抗腐蚀质量上等效:$_一种阴离子成分,所述各个阴离子包括至少4个氟原子,至少选自钛、锆、铪、硅与硼元素中的1个原子。任选地可离解的氢原子,任选地1个或多个氧原子;$_一种选自钴、镁、锰、锌、镍、锡、锆、铁与铜元素的阳离子成分,上述成分的阳离子总数与成分内的阴离子总数之比至少为1∶5;$_足够的游离酸以使该组合物的pH值在0.5~5.0的范围内;$_一种选自含磷的无机含氧阴离子与膦酸盐阴离子的成分;$一种选自水溶性与水可分散性有机聚合物与聚合物形成的树脂的成分,优选还包括一种选自钨酸盐、钼酸盐、钨硅酸盐与钼硅酸盐阴离子的成分。

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