为了确定多重线性回归模型中回归系数矩阵的秩，本文提出了一个基于M估计的模型选择程序，且在较弱的条件下建立了回归系数矩阵的秩的估计的强相合性。
To determine the rank of regression coefficient matrix in a multivariate linear regression model, a model selection procedure is proposed based on the M-estimation.
在该模型中，应用程序的所有页面都可由用户选择。
In this model, all the pages of an application are available for the user to choose.
如果应用程序适合“XML代码”模型，并且对性能的需求也不迫切，则JBind可能是很好的选择，但对于使用一般的XML数据绑定，它显得比较笨拙。
It may be a good option if your application fits the XML Code model and does not have stringent performance requirements, but JBind seems relatively cumbersome for general XML data binding usage.
尽管许多GC模型都具有自己的优缺点，但当应用程序的目标是缩短GC暂停时，两个主要的选择将是分代(generational)和实时收集器。
Although each of the many GC models has its pros and cons, when the goal for an application is short GC pauses, the two main choices are generational and real-time collectors.
对话框屏幕(图8)帮助您选择与您的应用程序一起保存的模型文件。
A dialog screen (Figure 8) helps you select the model file that has been saved with your application.
对于成功的应用程序架构师来说，拥有选择正确的模型类型(有助于进行模拟或预测系统某些重要方面的模型类型)的能力是很重要的。
The ability to choose the right model type that will be useful in simulating or predicting some important aspect of the system is critical for the successful application architect.
将该打包模型与纯j 2ee模型进行比较和对比，在其中描述关键变量并列出解决方案的汇编程序具有的可能选择。
This packaging model is compared and contrasted to the pure J2EE model, where key variations are described and possible choices that assemblers of solutions might have are outlined.
选择适当的UI模型是让这个应用程序能够适应小屏幕的关键。
Choosing the proper UI model is key to making the application work on the small screen.
相反，可以选择使用规范中定义的标准SDOAPI来创建数据模型的实例，以将数据传输到其他应用程序。
Instead, you have the option of using the standard SDO APIs defined in the specification to create instances of the data model to transfer data to other applications.
模型的选择取决于应用程序的性质和目标受众。
The choice of model really depends on the nature of the application and the target audience.
灵活的应用程序模型——开发人员能选择任何适合他们需要的应用程序开发模型。
Flexible application model - developers can choose what application developer model best fits their needs.
在接下来的表单中选择pagedDataDisplay选项，它将模型配置为显示一个分页程序，允许用户导航到小部件底部的podcast项。
In the following form, select the Paged Data display option, which configures your model to display a pager to let users navigate through the podcast items at the bottom of the widget.
选择Roseclassmodel作为模型导入程序并选择Next
Select Rose class model as the model importer and select Next
选择应用程序管理应用程序模型作为Selectedsource，将ApplicationManagement - UML项目作为Selectedtarget，如图17所示。
Select the application Management application model as the Selected source and the ApplicationManagement-UML project as the Selected target, as shown in Figure 17.
本构模型的建立和积分算法的选择是umat子程序开发中的核心问题。
Establishing a constitutive model and choosing an integral algorithmic method are the crucial matters for developing UMAT subroutine.
从TURBO码的编码特征入手，实现了嵌入方式的选择、水印基本模型、水印算法具体的程序实现方法。
Obtained from the TURBO codes code characteristic, realizes has inserted the way the choice, the watermark basic model, the watermark algorithm concrete procedure realization method.
作者用模型选择的方法提出了一种程序以估计转变点的个数及位置，然后建立了这些程序的强相合性。
The authors propose some procedure for estimating the number and locations of change points within the framework of model selection, and establish the strong consistency of these procedures.
本文最后对现有的涡轮损失模型进行了分析，选择出预测精度较高的一组模型构成涡轮性能预测模型并编制了预测程序。
Finally, this article has analyzed the losing model of the turbine, selected out a set of models to constitute the forecast model of turbine performance and established the forecasting procedure.
本文针对居民生活用水实施阶梯水价下双误差项的需求函数模型——离散连续选择模型进行了讨论，并给出了R包下的仿真算法和程序。
The paper discusses the two-error model demand function in ladder-like water pricing of residents living water usage—discrete continuous model, and proposes its algorithm and program in R package.
在此基础上，提出了一个系统的神经网络模型的构建与选择程序，并最终通过仿真试验来说明这个程序的有效性。
On the basis of this analysis, a novel and systematic construction and selection procedure for neural modeling was proposed. In the end, its efficiency was illustrated through simulations.
在此基础上，提出了一个系统的神经网络模型的构建与选择程序，并最终通过仿真试验来说明这个程序的有效性。
On the basis of this analysis, a novel and systematic construction and selection procedure for neural modeling was proposed. In the end, its efficiency was illustrated through simulations.
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