klr

Generally , KLR model is the better than other mainstream financial crisis early warning models .

总体上来说，这几种主流的金融危机预警模型中预警效果较好的是KLR信号分析法模型。

Building up a Pre-warning Mechanism of Our Monetary Crisis & Based on the Research of the Signal of KLR

构建我国货币危机预警机制&基于KLR信号法的研究

Even the famous KLR signal analysis acknowledged worldwide suffered criticism in the Subprime Mortgage Crisis .

即使是被世界公认预警效果良好的KLR信号分析法也在次贷危机的爆发中也遭受了巨大的讽刺。

We can combine KLR signal analysis model with FR-logistic probability model based the factor analysis to overcome the defects .

可以考虑将KLR信号分析法模型与因子分析基础上的FR-logistic概率模型综合起来利用可以克服以上提出的种种缺陷。

In the post-1997 period , there are mainly the KLR and DCSD models developed by the IMF and models developed by some private investment banks .

在后1997时期主要有IMF发展的KLR和DCSD模型以及一些私人投资银行开发的模型。

Finally , it designs Trust Companies growing early-warning model through outside environment index system and inter index system and applies it into E trust company to do empirical research by KLR signal analysis .

最后，本文采用KLR信号分析法，从外部环境指标体系和内部能力指标体系两个方面，设计了信托公司成长度预警模型，并将该模型应用于E信托公司进行了实证研究。

The most important characteristics of this research are as follows : Firstly , combining the KLR signal approach , SV model and GARCH model to build the prewarning model of corner risk in futures market .

本研究最为关键的突破创新有以下两点：一是结合KLR信号分析法、SV模型等建立了期货交易中的逼仓风险预警模型。

The in-sample data test showed that KLR model has a good early warning capability ; the out-of-sample data test showed that some early warning indicators issued clear warning signals before the outbreak of the subprime crisis .

样本内数据检验表明，KLR模型对金融危机具有较好的预警能力；样本外数据检验表明，在次贷危机爆发之前，KLR模型的部分预警指标发出了较明确的预警信号。

Can KLR model successfully pre-dict the 2007 subprime crisis ? This paper tests the KLR model in sample and out of sample , in order to have the comprehensive assessment of its early warning effective-ness .

那么KLR模型能否预测到始于2007年的次贷危机？为了对KLR模型的预警绩效进行全面的评估，本文对其进行了样本内和样本外数据检验。

In this paper a new subset of the LR ( k ) grammars called KLR ( k ) grammars is defined and a method for constructing the KLR ( k ) parsing table is presented .

本文定义了LR（k）文法的一个新的子集，称为KLR（k）文法；同时给出了构造KLR（k）分扩表的一个算法。

The input vectors to the ANN based on specific window size is taken form the row of the PSSM that correspond to the specific amino acid at the specific window position . Secondly , we presented LR and KLR methods for beta-turns prediction .

基于具体的窗口尺寸的神经网络的输入向量形成了对应于在具体窗口位置上的特定的氨基酸的特定位置打分矩阵的行。