Vertaling van "multivariate normal distribution" in Chinees
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多元正态分布
The vector of coefficients for an individual is assumed to come from a multivariate normal distribution with arbitrary mean and covariance matrix.
个体的系数向量假定来自具有任意均值和协方差矩阵的多元正态分布。
The errors are usually assumed to be uncorrelated across measurements, and follow a multivariate normal distribution.
通常假设误差在测量之间是不相关的,并遵循多元正态分布。
Caution: Missing value imputation assumes that there are no clusters, that the data come from a single multivariate normal distribution, and that the values are missing completely at random.
警告: 缺失值补缺假定不存在任何聚类、数据来自单个多元正态分布,并且值的缺失是完全随机的。
The Multivariate Normal Imputation utility imputes missing values based on the multivariate normal distribution.
"多元正态补缺"实用工具基于多元正态分布补缺缺失值。
The Outlier Analysis calculates the Mahalanobis distances from each point to the center of the multivariate normal distribution.
离群值分析计算从每个点到多元正态分布的中心的 Mahalanobis 距离。
In fact, the DoG as the difference of two Multivariate normal distribution has always a total null sum and convolving it with a uniform signal generates no response.
事实上,DOG算法作为两个多元正态分布的差通常总额为零,把它和一个恒定信号进行卷积没有意义。
Fang Kaitai (Chinese: 方开泰; born 1940), also known as Kai-Tai Fang, is a Chinese mathematician and statistician who has helped to develop generalized multivariate analysis, which extends classical multivariate analysis beyond the multivariate normal distribution to more general elliptical distributions.
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