The paper also contains several statistical measures for model selection.
该文件还包含几个统计模型的措施选择。
Bayes factor is the major tool for model selection in Bayesian Statistics.
在贝叶斯统计学中，贝叶斯因子是进行模型选择的主要工具。
Several criteria such as AIC and SIC are usually used in ARMA model selection.
AIC与SIC等准则函数方法是arma模型选择过程中经常使用的方法。
The consistency of BICC in high dimensional data model selection is also shown.
本文证明了这种信息准则在模型选择方面具有一致性。
The knowledge-based automatic model selection strategy is proposed in this paper.
针对目前实用算法较少的现状，提出一种模型自动选择策略。
The content includes model selection, adjustment theory, test process and test result.
从模型的选取、校正原理、测试过程、测试结果等方面进行了阐述。
Least squares regression with nine model selection techniques, including stepwise regression.
最小二乘回归模型选择与九技术，包括逐步回归。
This method has been testified by road tests and will give help to the ABS model selection of coaches.
最后，通过道路试验证明了该方法的可行性。
The author describes and discusses the key factors in battery model selection for micro hybrid vehicles.
本文论述和探讨在微混合动力的构架下，选择蓄电池技术参数所涉及到的几个关键因素。
The appropriate model selection according to test requirements can reduce the research cost effectively.
同时，根据具体试验要求，使用者可适当选择，以减少费用。
The model selection can not only determine the success of experiments but also impact the accuracy of study outcome.
近视动物模型的选择不仅可决定实验研究成功与否，还能决定实验结果是否准确和正确。
The model selection principle of determining effective number of dimensionality reduction for different clusters is proposed.
并提出了针对不同类簇判断有效降维维数的模型选择准则。
KICA with model selection step is applied to the task of removing ECG artifact from the EEG signal and the result shows KICA.
实验结果表明：经模型选择后的KICA能成功分离脑电信号中的心电伪差。
Tools and techniques in the literature can not be broadly used due to the limited number of model selection criteria they adopt.
文献中已有的软件可靠性模型的选择方法和工具因为使用了受限的模型选择标准而得不到广泛的应用。
We give a quantitive analysis and comparison to these three models and provide a decision-making reference for the model selection.
描述性能测量常用的三种应用模型，对这些模型进行了定量的性能分析，给出了模型选用建议。
The model selection of population prediction and scientific confirmation of prediction parameters are two most important basic steps.
人口预测模型的选择和预测参数的科学认定，是人口预测实践中最重要的两个基本环节。
According to the principles, rough study the urban and rural public transportation with capacity scheduling, scale and model selection.
根据运力配置原则，对城乡公交线路运力调度、规模确定和车型选择作粗略研究。
The popular criteria in model selection are reviewed and a new criteria, BICC, which from the point of goodness-of-fit term, is suggested.
文章回顾了各种用于模型选择的信息准则，并从拟合优度项的角度，提出了一种新的准则：BICC。
The article focuses on the principles of OKPS and the expert system, rules of model selection, structure of the knowledge base, and so on.
本文着重阐述了O K P s系统和该专家系统的原理、模型选择的规则、专家知识库的构造与实现等问题。
Through analysing the construction process of blacktop, this paper probes into the basis of equipments' model selection and selecting methods.
文章通过沥青路面施工流程的分析，对设备选型的依据和选择方法进行探讨。
Emphasis of model selection exists in automatic selection of model and how to realize automatic selection is an important research domain in IDSS.
模型选择的重点应该放在模型的自动选择上，实现模型的自动选择是智能决策的重要研究领域。
Finally, it is concluded that the best model selection in the light of different predicted information will improve precision for flood forecasting.
由此还得出另一个结论：在实时洪水预报中，根据不同的预知信息实时选择最佳的模型，能提高洪水预报的精度。
From three aspects of structure, fundamental contents and model selection, this paper probes into the technological innovation strategy of enterprises.
文章从企业技术创新战略的构造、基本内容、模式选择等三个方面进行了探讨。
Subspace information criterion is a new criterion for model selection, it gives an unbiased estimate for the generalization error under some assumptions.
指出子空间信息准则是模型选择的一种新准则，它在一些假设条件下，给出推广误差的一种无偏估计。
Recursive forecasting method is easy to be implemented on computer and thus makes forecasting model discovery, model selection and forecasting automatic.
递归预测法便于计算机实现，并进而进行预测模型发现，模型选择和预测的自动化工作。
The composition, functions, PLC model selection and program design of PLC plus frequency speed- regulating system on electroslag furnace are briefly introduced.
简要介绍了电渣炉PLC加变频调速控制系统的组成、功能及PLC的选型和程序设计。
Furthermore, in order to solve the model selection problems of unsupervised image segmentation, the sum of squared error criterion with penalty term is proposed.
而且，针对无监督图像分割的模型选择问题提出了带惩罚项的误差平方和阶次判定准则。
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.
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.
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。
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