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- variance components analysis 方差组分分析
- Estimate not calculated due to negative sire variance components. 1因负的父方变方成份故未估计。
- The new method can be use d when the difference of variance components between male and female is relative ly large with full-sib analysis in actual estimation. 本文方法可以在一定程度上弥补全同胞分析时,因 实际资料的公母畜方差组分差异过大的缺陷,具有实际可行性。
- variance component analysis 方差成分分析
- Subject the matrix to principal components analysis. 主成分分析法。
- Then the data were analyzed by the absolute principal component analysis (APCA) to evaluate principal components and the percent variance explained by them. 对获得的浓度数据进一步作绝对主成分分析(APCA),获取颗粒物的主要来源成分和它们所占的比值。
- Keywords: design hyetograph, principal components analysis, cluster analysis. 关键词:设计雨型、主成分分析、群集分析。
- Analysis of molecular variance(AMOVA)showed that variance component among cultivars(94.4%)was far higher than that among regions(5.6%). AMOVA分析表明区域因素引起的变异(占5.;6%25)远小于品种因素(占94
- Unbiasedness and efficiency for estimating variance components and predicting genetic effects are tested by Mone Carlo simulations. 运用蒙特卡罗模拟的方法,验证了遗传模型的稳定性和统计分析方法的无偏性。
- Two way classification models with random effects are used widely.The variance components in these models are often estimated by ANOVA estimates. 摘要两向分类随机效应模型是一种有着广泛应用的统计模型,对其中的方差分量,经常使用方差分析法来估计。
- Prediction of genetic effects by AUP method and estimates of phenotypic and genetic variance components by MINQUE(1) method are suggested for different generations. 不同世代的表型方差及各遗传方差的MINQUE(1)法估计值。
- The methods of statistical analysis included principal component analysis, phylogenetic trees, analysis of molecular variance (AMOVA), R matrix, GIS and spatial autocorrelation. 分析方法包括主成分分析、系统发生树、分子方差分析、R矩阵、地理信息系统以及空间自相关分析。
- 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. 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。
- Compared with restricted estimation of maximum likelihood (REML), MCMC was preferred to parameter inference of variance components, and was more robust for small sample data. 同时和基于似然的限制性最大似然估计法(REML)相比,MCMC方法在参数推断方面有更强的优越性,在小样本情况下可得到更稳健的参数估计。
- NUTRITIONAL COMPONENTS ANALYSIS OF PETIOLE FROM RHEUM. TANGUTICUM MAXIM. EX BALF. 唐古特大黄叶柄的营养成分分析。
- Main components analysis method could eliminate the colinear among all the variate and reduce variate quantity. 该方法可消除各变量之间的共线性,减少变量的个数,结果直观;
- The method involves principal components analysis, phase space reconstruction and least squares estimate. 方法包括3部分:主分量分析,相空间重构,最小二乘拟合。
- The recent researches focus on chemical components analysis and CVI numerical simulation. 近期的研究集中在化学反应成分分析和数值模拟渗透过程上。
- The adulterate milk were identified by electronic nose, and the signals were analyzed by variance analysis, PCA (principal component analysis) and clustering analysis. The best sensors array made up of 8 sensors was obtained. 运用PEN2便携式电子鼻对掺假牛奶进行检测,用方差分析、主成分分析和聚类分析对信号进行分析,得到由8个传感器组成的用于检测掺假牛奶的最佳传感器阵列。
- The conclusions are as follows:The surface wind field is highly asymmetric;the variance components of asymmetric surface wind field depend mainly on the airflow direction of wavenumber 1 and 2. 结果表明:台风近地层风场分布具有明显的不对称性,其方差大部分产生于波数1和2的气流中,并且与波的方向有关。