1) unit power variance factor
单位权方差因子
2) variance of unit weight
单位权方差，方差因子
3) unit weight variance
单位权方差
1.
Through Helmert method of variance components estimation, unit weight variances of observation data are equal(or the ratio of unit weight variances is approximate equal to one), and the reasonable and theoretical weight matrix is determined.
提出了确定联合反演中相对权比的两步法,第一步是不考虑相对权比,建立两类或多类数据的联合反演模型,通过赫尔墨特方差分量估计使得两类或多类观测数据的单位权方差相等(或单位权方差的比值接近1),从而理论上确定了观测数据合理的权阵,同时对不同种类数据进行了归一化;第二步是在获得合理的观测数据权阵之后,建立顾及相对权比的联合反演模型,以目标函数值为最小来确定权比例因子。
2.
In this paper,the unit weight variance formula has been deduced and what the theory the author has used to deduces the formula is the block matrix and matrix reducing knowledge.
利用分块矩阵及矩阵求解约化知识推导了测量平差中单位权方差的估值公式,并由推导结果分析了经典最小二乘平差方法的局限性。
4) Unit weight estimation variance
单位权估计方差
5) one-way ANOVA
单因子方差分析
1.
Five meristic characters and fifteen morphological characteristics were measured and the data were analyzed by the principle component analysis method,multivariate analysis method and one-way ANOVA to study the morphological variations among four populations of Sardinella zunasi(125 individuals) collected from Qingdao,Zhoushan,Aichi and Kagawa.
运用主成分分析、多变量解析和单因子方差分析方法对青岛、舟山以及日本爱知、香川4个群体的青鳞小沙丁鱼Sardinella zunasi(125尾)5个分节特征和15个量度特征进行了比较分析。
2.
Ten meristic characters and eleven morphometric characters were analyzed by the cluster analysis, one-way ANOVA and principle component analysis to study the relationship of three D.
运用聚类分析、单因子方差分析和主成分分析对伊犁河、塔什库尔干河和托什干河3个群体斑重唇鱼(Diptychus maculates)10个可数性状和11个可量性状进行比较分析。
3.
Seven meristic characters and sixteen morphological characteristics were measured and analyzed by using the principle component analysis method,cluster analysis method,multivariate analysis method and one-way ANOVA among three Hexagrammos otakii(160 individuals) populations collected from Dandong,Dalian and Yantai.
运用主成分分析、聚类分析、多变量解析和单因子方差分析方法开展了北黄海丹东、大连及烟台3个海区的160尾大泷六线鱼(Hexagrammos otakii)7个分节特征和16个量度特征的比较分析。
6) Variance of unit weight
方差因子
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