BP神经网络的预测精度高于线性统计模型。
The accuracy of prediction of BP neural networks model is higher than that of factor analysis.
本文提出了一种以线性统计模型为基础的边缘检测算法。
This paper presents edge detection algorithm based on a linear statistical model.
本文提出了一个描述股市收益率与成交量变化率的关系的非线性统计模型。
A nonlinear statistical model which describes a relationship between the return and the relative rate of trading volume in stock market is presented in this paper.
在研究环境中，需要通过理论参数和统计参数来建立线性模型备择假设。
In a research context, the alternative hypothesis of a linear model needs to be established by theoretical and statistical arguments.
描述性统计和对数线性模型用来识别与自费分娩费用相关的因素。
Descriptive statistics and log-linear models were used to identify factors associated with out-of-pocket expenditure on delivery.
第三章是关于回归系数的可容许估计，这包括统计线性模型不受约束和受约束的情形。
In the third part, we give the admissible estimators of regression coefficients in statistical linear model with or without constraints.
这个领域的课程包括概率论，统计线性模型，和随机过程。
Courses in this field include probability theory, linear statistical models, and stochastic processes.
介绍前向人工神经网络模型，并与传统的统计学线性模型进行比较。
The author introduces the forward manual nerve net model and makes a comparison with the linear model of traditional statistics.
它能够在线估计虚拟系统噪声的统计特性，从而消除了动态模型线性化误差带来的不良影响。
Owing to estimate the statistics of virtual noise on line, it overcomes the bad affect caused by linearization of nonlinear dynamic model.
第三章研究了椭球约束下线性模型的影响点挖掘，给出了相应的统计量，并设计异常挖掘算法。
In chapter 3, we study the influence point mining of linear model under elliptic restriction, and show the corresponding statistical function and the outlier mining algorithm.
此模型由一“破坏指标”表示，它是最大变形和累积能量耗损两个参数的非线性函数，其统计特性服从威布尔分布。
This model is represented in terms of a "damage index" which is a nonlinear function of maximum deformation and accumulated energy dissipation, and follows Weibull distribution.
线性模型是一类研究历史悠久，应用范围广泛的统计模型，在模型的统计分析中，结果解释是重要的组成部分。
Linear model is a kind of statistical model and have a long history and wide applications. The inference results interpretation is an important aspect in model statistical inference.
对于居民消费结构分析，现广泛采用扩展线性支出系统模型进行统计分析，并计算出各类商品的需求弹性。
Related to residential consumption analysis, extend linear expenditure system (ELES) is widely used in statistics analysis, and calculating the demand elasticity of various commodities.
本文比较系统地研究了非线性分位点回归模型的统计诊断，尤其是影响分析等。
This thesis is devoted to investigate the statistical diagnostics, particularly the influence analysis, for nonlinear quantile regression.
它能够在线估计虚拟观测噪声的统计特性，从而克服了观测模型线性化误差带来的不良影响。
Owing to estimating the statistics of virtual noise on line, it overcomes the bad affect caused by linearization of nonlinear observation model.
本文构造了非线性模型中参数的经验欧氏似然比统计量，并证明了该似然估计的强相合性和渐近正态性。
In this paper, empirical Euclidean likelihood ratio statistics are constructed for parametric in a nonlinear model. And prove strong consistency and asymptotic normality of the estimation.
相对线性混合模型分析法，方差分析法分析该试验时，依测验的效应不同会导致第一类或第二类统计错误率的增大。
Compared with the mixed linear model analysis, the analysis of variance could result in higher type I or II statistical error rates.
作者提出了用虚拟时变噪声统计，补偿线性化模型误差的新思想。
A new approach of compensating linearized model errors by the fictitious time-varying noise statistics is proposed.
为了更有效地利用图像的局部特征恢复被噪声感染的图像，基于图像局部纹理方向概率统计模型，提出一种针对混合噪声的非线性滤波算法。
In order to more effectively make use of local features to restore the noise-infected image, a nonlinear filtering algorithm based on local texture direction probability statistic model was proposed.
综合利用井中的地震、测井和钻井资料等，用统计拟合方法和非线性反演方法建立压力预测模型。
A pressure predicting model is established by synthetically using the data of seism, well logging and well drilling in combination with statistical matching method and nonlinear inversion.
线性模型是很重要的一类统计模型，它包括线性回归模型、方差分析模型、协方差分析模型和方差分量模型等等。
Linear models are especially important statistical models, including linear regression model, variance and analysis, covariance and analysis, and variance and component one etc.
根据反演建模理论，在引入一次样条函数的基础上，设计了一种局地非线性气候动力统计模型及其一整套反演方案。
After introducing the linear spline function, a local nonlinear dynamical and statistical climate model and its inversion method was designed according to the inversion theory.
线性模型是一类很重要的统计模型，它包括回归模型、方差分析模型、协方差分析模型以及混合模型等。
Linear model is a vital class of statistical model which involves regression model, variance analysis model, covariance analysis model and mixed model etc.
本文将GIS空间分析技术、地质统计学方法和非线性模型相结合，以广西黎塘地区为研究区，定量评价了岩溶地下水富水性。
The water yield property of karst groundwater in Litang region of Guangxi Province was evaluated quantitatively, combined spatial analysis of GIS, geostatistics method and nonlinear model.
对指数族非线性随机效应模型，本文首次利用Q函数进行统计诊断。主要创新性研究成果如下。
Q function have been used to study the statistical diagnostics for the exponential family nonlinear models with random effects.
研究了带有约束的均值漂移和方差加权的混合非线性回归模型．得到了相应的一阶和二阶诊断统计量。
We study restriction of Nonlinear Regression Diagnostic Models with case-weights and meanshifte simultanously, and some new diagnostic statistics are derved.
其次，在此评价指标体系的基础上，利用统计中的线性回归模型的方法建立了评价模型。
Secondly, based on the system, evaluation model has set up by utilizing statistical linear regression model method.
方法：利用混合线性模型分析结果指标为定量资料的重复测量资料，通过参数和标准误的估计得出统计学结论。
Methods: the repeated measure data were analyzed with quantitative data by mixed linear Model and conclusions were drawn according to the parameter and standard error.
采用机理分析和统计分析的方法，建立了二次风系统非线性动态模型，并通过仿真验证了模型的有效性和准确性。
Utilizing mechanism analyzing and statistical analyzing methods, a dynamic model of secondary air systems has been constructed and its effectiveness and accuracy validated by simulation.
采用机理分析和统计分析的方法，建立了二次风系统非线性动态模型，并通过仿真验证了模型的有效性和准确性。
Utilizing mechanism analyzing and statistical analyzing methods, a dynamic model of secondary air systems has been constructed and its effectiveness and accuracy validated by simulation.
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