Courses in this field include probability theory, linear statistical models, and stochastic processes.
这个领域的课程包括概率论，统计线性模型，和随机过程。
Linear models are especially important statistical models, including linear regression model, variance and analysis, covariance and analysis, and variance and component one etc.
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。
Results:Mixed linear models statistical method revealed that the main factors of child growth were age, SGA or not, gender and birth weight.
结果：采用混合线性模型协方差分析发现，与婴幼儿生长密切相关的主要因素为月龄、是否SGA、性别和出生体重；
In addition, statistical and deterministic mathematical models are used for back analysis of equivalent temperature linear expansion coefficient based on the prototype monitoring data.
此外，基于原型观测资料，利用统计模型和确定性模型对碾压混凝土的等效温度线膨胀系数进行了反演分析。
For generalized linear and nonlinear models, it is still a conventional hypothesis that observed data should have nominal dispersion, otherwise statistical inference would be more difficult.
对于广义回归模型，人们也总是假设数据具有名义离差，否则，统计推断更加困难。
It also shows the example index of non-linear statistical forecast models.
并给出了各种非线性统计预报模型在气象预报中的具体应用实例索引。
It also shows the example index of non-linear statistical forecast models.
并给出了各种非线性统计预报模型在气象预报中的具体应用实例索引。
应用推荐