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variance相关的网络例句

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This paper make a review about the history and development in the theory of admissibility estimation in linear model and Variance Component Model.

本文综述了线性模型中参数估计的可容许性理论的历史及近年来的发展,同时也提出了一些待解决的问题。

It is proved that the least squareestimators of linear estimable functions of regression coefficients areadmissible under matrix loss and minimax. The necessary and sufficientexistence conditions are derived for the uniformly minimum riskequivariant estimators of linear estimable functions ofregression coefficients under an affine group and a transitive group oftransformations respectively. It is also proved that there are no UMREestimators ofthe covariance matrix and variance under an affine groupof transformations and quadratic loss functions.

本文证明了回归系数的线性可估函数的最小二乘估计是极小极大的且在矩阵损失函数下是可容许的;还分别在仿射变换群和平移群下导出了存在回归系数的线性可估函数的一致最小风险同变估计的充要条件,并证明了在仿射变换和二次损失下不存在协方差阵和方差的 UMRE 估计。

The object of the study is consumers in Taipei city, and the study used AIO life style scale as the base of market segmentation. Data was collected by using questionnaires based on innovation adoption process, product attributes of portable multimedia player, and demographic variables and analyzed by applying factor analysis, cluster analysis, analysis-of-variance, and chi-square test.

本研究以台北市消费者为研究对象,以AIO生活型态量表作为区隔基础,利用问卷调查方式搜集资料,透过创新采用过程、行动影音播放器之产品属性、人口统计变数作为投入变数,并使用因素分析、集群分析、变异数分析、卡方检定等方法来分析所得之实证资料。

After analysis of variance the results show that Allium galanthum L. has imbibitional chilling when imbibed at 5℃.

在5℃条件下,实葶葱的种子萌发存在吸胀冷害。

To improve the precision of tree biomass parameter calculation, this paper explicates the principle, method and process to estimate the parameters of tree biomass by the nonlinear least square according to the formula of allometry method. It gives the formula to calculate the variance and covariance estimated parameters, and reveals the essence of logarithmic linearization regression of power function.

为了提高林木生物量参数的计算精度,根据林木相对生长公式,阐述用非线性最小二乘法求解生物量参数估值的原理、方法和过程;给出计算参数估值之方差与协方差的公式;揭示幂函数对数线性化回归的本质。

The knowledge representation of fuzzy diagnosis based on petri nets includes knowledge-base station, proposition, variance, input and output, and reliability and allusiveness.

基于模糊Petri网的知识表达是库所、命题、变迁、输入、输出及其可信度、影射等的集合。

According to the statistic analysis of Prof. Amari on static recognition with neural networks, and introducing the concept of vector position stochastic variable of vector stochastic sequence, the stochastic variable is processed by DRNN. The relationship between input and output variance is analyzed. The stochastic analysis of dynamic identification is given, so as to explain the DRNN characteristics in recognition process.

第二,根据Amari教授对神经网络静态识别时的统计分析,引入矢量随机序列的矢量位置随机变量的概念,以该随机变量经过DRNN处理后,分析其输入与输出方差之间的关系,试给出了DRNN做动态识别时的统计分析,以从理论上说明DRNN在识别过程中的特性。

Further information can be gleaned through a follow-up survival analysis, which is analogous to analysis of variance.

进一步的信息可以通过收集的后续生存分析,这是类似于方差分析。

DESIGN: Randomized controlled study and analysis of variance.

设计:随机对照的实验,方差分析。

Methods: Under the same conditions, the method of life table and analysis of variance was used.

在相同条件下,采用生命表的方法和方差分析。

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