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协方差

与 协方差 相关的网络例句 [注:此内容来源于网络,仅供参考]

Mahalanobis distance as one of the generalized square distance and an integrated guide line to describing multi-structure,can be more widely used in anomaly evaluation than the simple method which based on simple normal distribution.

建立在多元正态分布理论基础上的马氏距离,考虑了均值、方差和协方差三个参数,在异常评价中具有基于一元正态分布理论的单指标异常评价方法不可比拟的优点。

In this paper we discuss the tests for homogeneity of variances and correlation coefficients in longitudinal data model with exponential correlation covariance structure and obtain several score test statistics. The glucose data is used to illustrate our results.

本文针对具有指数相关协方差结构的纵向数据模型,研究了方差齐性和相关系数齐性的检验,得到了检验的score统计量,并对葡萄糖数据进行了分析。

It is shown that how through the Kronecker product the model-calibration approach can be used to estimate bilinear parameters, in particular, to estimate variances and covariances.

通过Kronecker积,可把模型校正方法用于估计双线性参数,特别地,去估计方差和协方差

METHODS: Both diastolic and systolic blood pressures repeated measures data, collected from 120 drug abusers after taking two kinds of medicine (Drug A: Xiaoyinfuzheng, Drug B: Kelening), were analyzed by multivariate random coefficients model. The fixed effect parameters matrix x of model coefficients were estimated by using least squares estimation method, the effects between treatment groups were compared and the variancecovariance matrices of random effect were also estimated.

对两种药物(A药:消瘾扶正胶囊,B药:可乐宁)治疗120例患者后的舒张压和收缩压重复观测数据进行多变量随机系数模型分析,对模型系数的固定效应参数矩阵ξ作最小二乘估计并进行组间比较,同时估计随机效应的方差协方差矩阵,分析方法用SAS/IML软件编程得以实现。

METHODS: Both diastolic and systolic blood pressures repeated measures data, collected from 120 drug abusers after taking two kinds of medicine (Drug A: Xiaoyinfuzheng, Drug B: Kelening), were analyzed by multivariate random coefficients model. The fixed effect parameters matrix x of model coefficients were estimated by using least squares estimation method, thelunwen114 effects between treatment groups were compared and the variancecovariance matrices of random effect were also estimated. Related analysis methods were programmed with SAS/IML code.

对两种药物(A药:消瘾扶正胶囊,B药:可乐宁)治疗120例患者后的舒张压和收缩压重复观测数据进行多变量随机系数模型分析,对模型系数的固定效应参数矩阵ξ作最小二乘估计并进行组间比较,同时估计随机效应的方差协方差矩阵,分析方法用SAS/IML软件编程得以实现。

It describes the heteroskedasticity character of interest rate by projecting the sample data onto the EGARCH (1, 1) auxiliary model, makes making the covariance matrix as moment conditions and uses EMM to estimate the parameters. EMM avoids the disadvantage of infeasible or computationally intensive of maximum likelihood functions.

通过将观测数据映射成EGARCH(1, 1)辅助模型描述利率行为的异方差特征,以协方差矩阵为矩条件,用有效矩估计方法得出模型参数,避免了最大似然估计法似然函数不可知或难以求积分的缺陷。

Multivariate analysis of variance, covariance, and regression.

检验和置信区间,多元方差分析,协方差和回归。

This paper presents in detail principal theory used to solve linear unbiased least variance estimation problem using Givens-Gentleman orthogonal transformation without square root computation and applies the theory to three stage-multiarc estimation.

本文详细介绍了利用不求平方根的Givens-Gentleman正交变换解线性无偏最小方差估计问题的基本原理以及这种方法在卫星激光测距三级复弧估计技术中的具体应用,给出了计算估值协方差的一组新的公式。

The slope estimate is the sample covariance between x and y divided by the sample variance of x.

斜率估计量等于样本中x和 y 的协方差除以x的方差。若x和 y 正相关则斜率为正,反之为负。

In the case of 〓unknown,this dissertation derived the exact distribution of related statistics,and thenproposed the multivariate covariance control charts:the A chart and the 〓 chart based onthe sample generalized variance and the maximum and the minimum eigenvalues.

当分布参数〓未知时,本文通过推导有关统计量的精确分布,建立了基于样本广义方差和最大、最小特征根的多元协方差控制图—A图和〓图,为实际应用奠定了基础。

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