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component of variance相关的网络例句

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

NMath Stats contains a data table class with functions for computing descriptive statistics, such as mean, variance, standard deviation, percentile, median, quartiles, geometric mean, harmonic mean, RMS, kurtosis, skewness, and many more; PDF, CDF, inverse CDF, and random variable moments for a variety of probability distributions, including normal, Poisson, chi-square, gamma, beta, Student's t, F, binomial, and negative binomial; Combinatorial functions, such as factorial, log factorial, binomial coefficient, and log binomial; Multiple linear regression; Basic hypothesis tests, such as z-test, t-test, and F-test, with calculation of p-values, critical values, and confidence intervals; One-way and two-way analysis of variance and analysis of variance with repeated measures; Multivariate statistical analyses, including principal component analysis and hierarchical cluster analysis.

nmath统计包含一个数据表的阶层与职能计算描述性统计,如平均,方差,标准差,百分位,中位数, 25 %,几何平均数,调和的意思是,有效值,峭度,偏度,还有更多的; PDF格式,民防部队,逆民防部队,并随机变量矩的各种概率分布,包括正常,泊松,卡方检定,伽玛,测试版,学生的吨,男,二项式,并负二项分布;组合的功能,例如阶乘,日志阶乘,二项式系数,并登入二项式;多元线性回归;基本假设测试,如的Z测试, t检验, F检验,计算p值,临界值,和置信区间;之一,双向和双方法方差分析和方差分析与反复的措施;多元统计分析,包括主成分分析和聚类分析。

The shock of the permanent component of conditional variance is larger than the temporary component in Taiwan and England stock market.

而条件变的恒常要素与短暂要素的确存在,其中已开发国家中的英国及开发中国家的台湾为恒常要素的冲击效果明显大於短暂要素。

The results of AMOVA indicated that the variance component of among populations contributes 51.53% to the total genetic variance.

基于Nei (1972)遗传距离的UPGMA聚类分析显示群体间的遗传距离与群体的地理距离关系一致。

According to the number one of principal component(percent of variance 69.11%),The ranking among them was Liriodendron tulipifera variance range 0.7156

本论文对鹅掌楸、北美鹅掌楸和杂交鹅掌楸花被片色素及花果数量性状进行了初步研究,比较三大类群的差异,探讨它们的遗传变异规律,为进一步开展鹅掌楸杂交育种服务。

In the mixed linear model with two variance components, two positive estimates of variance component are proposed, which are dominate the ANOVA estimate and the Tatsuya estimate in the sense of mean-squared errors.

对含有两个方差分量的线性混合模型,本文给出了两个正的截尾估计,并指出它们在均方误差意义下优于ANOVA估计和Tatsuya估计。

It is also found that both permanent and transitory components of the conditional variance really exist and the shock of the temporary component of conditional variance is larger than the permanent component. Because there is no limit up or down in ADR's secondary market, the temporary shock of stock return is larger than the permanent shock.

而在条件变的部分,确实存在恒常要素与短暂要素,而且短暂要素的冲击效果明显大於恒常要素,显然在没有涨跌停限制的ADR次级交市场中,一旦面市场资讯的冲击时,短期股价报酬之反映较长期得剧。

The results indicate that the vertical component of wind velocity variance remains unchanged but the hori- zontal component increases as the sampling length increases.

结果表明:在进行湍流统计特征量计算过程中,采样长度增加时,垂直分量风速方差无明显变化,水平分量风速方差增大;随着风速的减小以及稳定度参数 z/L的增加,采样长度对计算结果的影响变得更为突出。

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。

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。

Course contents include the analysis of variance and covariance, multivariate analysis of variance and covariance, principle component, factor analysis, cluster analysis, discriminant analysis, canonical correlation analysis, multidimensional scaling, discrete choice model, and LISREL.

其主要内容包括变异数与共变异数分析、多变量变异数分析、主成份分析、因素分析、集群分析、区别分析、规则相关分析、多元尺度法、二元质量选择模型、及 LISREL 模型。

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