下面显示的就是这个线性模型的代码。
可以用它们来评估线性模型与数据的吻合程度。
They can be used to assess how well your linear model fits the data.
一般回归模型是通常线性模型的推广。
General regression model is a generalization of linear model.
目的应用对数线性模型对骨折资料进行分析。
Objective Log-linear model was applied to analyze the fracture data.
所生成的线性模型将被表示为与被转换值相关的线性公式。
The resulting linear model would be expressed as a linear formula relating the transformed values.
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.
变量选择和变换选择是线性模型中的两个不同的问题。
Variable selection and transformation selection are two different problems in the linear model.
并通过模型识别与参数估计，得到线性模型的准确形式。
Using the model Identification and Parameter Estimation, the linear model is turns out to be accurate.
线性模型的信号估计精度是工程应用上非常重要的指标。
The signal estimation precision of the linear model is an important index in applied project.
线性模型定义的领导力假设，观察者对任务有充分的了解。
Linear definitions of leadership assume that observers have a perfect understanding of the task.
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.
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.
每个汇总报告对有关线性模型和数据之间关系的各种分析问题提供了答案。
Each summary report provides answers to different analytic questions that you might have about the relationship of your linear model to the data.
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.
基于对非线性模型的分析，给出了溃变的数学物理学意义和数学特征。
Based on analysis of nonlinear models, mathematical physics meanings and mathematical characters of blown-ups are provided.
反复措施，一般线性模型被用来确定最优的时间和频率，轻松的音乐节。
Repeated measures general linear modeling was used to determine optimal timing and frequency of relaxing music sessions.
可以得出这样的结论：与仅仅使用消耗值的均值相比，简单线性模型的预测能力更好。
You can conclude that a simple linear model offers more predictive power than simply using the mean of the Exhaustion scores.
对类进行实例化后，显示该类所生成的某些汇总值以评估线性模型与数据的吻合程度。
After instantiating the class, display some of the summary values generated by the class to assess the degree to which a linear model fits the data.
采用模糊动态模型逼近非线性系统，将非线性系统模糊化为局部线性模型。
Using model as an approximation for nonlinear system, the nonlinear system has been fuzzified into local linear model.
广义非线性模型又称指数族非线性模型，它是普通正态非线性模型的推广。
The generalized nonlinear models (GNLMs), i. e. exponential family nonlinear models are the natural generalization of ordinary nonlinear models.
对于线性模型，只需要调用一次MATLAB矩阵左除命令即可获得其数值解。
The numerical solution can be obtained by calling matrix left division command in MATLAB only once for linear SCLC model.
方法将混合系数线性模型转化为广义线性模型，然后利用线性模型相应的方法。
Methods the linear model of mixed coefficient is turned into a generalized linear model, and the relevant methods of linear models is used.
通过舍弃简单的对数转换进而采用更复杂的非线性模型，帕卡德博士的模型解决了这个问题。
Dr Packard's model gets round this by abandoning simple logarithmic transformation in favour of a more complicated, so-called nonlinear model.
采用模糊动态模型逼近混沌非线性系统，将混沌非线性系统模糊化为局部线性模型。
Using T-S fuzzy model as an approximation, the nonlinear chaotic system is fuzzy and translated into local linear model.
采用模糊动态模型逼近非线性混沌系统，将非线性混沌系统模糊化为局部线性模型。
By approximating the nonlinear chaotic system with a t s fuzzy model, the nonlinear chaotic system is fuzzed into a local linear model.
现有研究都是针对平面模型的无线传感器网络，但是很多应用场合具有线性模型的特征。
Present studies all aimed at wireless sensor networks of plane model. But many applications are linear model.
采用T - S模糊动态模型描述非线性系统，并将非线性系统模糊化为局部线性模型。
Nonlinear system is described based on T-S fuzzy dynamical model, and the nonlinear system is translated into local linear model by fuzzy method.
因此，本文针对平面模型和线性模型，分别提出了无线传感器网络数据收集问题的解决方案。
So this paper proposes resolving schemes of data collection in wireless sensor networks of both plane model and linear model.
因此，本文针对平面模型和线性模型，分别提出了无线传感器网络数据收集问题的解决方案。
So this paper proposes resolving schemes of data collection in wireless sensor networks of both plane model and linear model.
应用推荐