矿山采空区塌陷预测方法研究

采空区塌陷一直以来都是采矿工程领域的重要研究课题,许多学者就如何对采空区塌陷做出正确的预测做了深入的研究,也提出了许多预测方法。本文首先介绍了采空区塌陷的原因及产生的危害,对采空区塌陷预测具有重要的意义,然后总结了采空区塌陷预测的四种比较好的方法。     

上市公司财务失败预警研究

财务失败是指公司无力支付到期债务的经济事项。只要公司存在就会有财务风险,当财务风险积聚到一定程度时,如果不能及时采取化解措施或采取的措施不力,公司就会陷入财务失败的困境。国内外学者对有关财务失败预警进行了相关研究,这些统计模型具有不可克服的缺陷,因此在建立上市公司财务失败预警模型时应注意一些相关问题。     

A Neural Network Approach for Analyzing Small Business Lending Decisions

In this paper, we apply the neural network method to small business lending decisions. We use the neural network to classify the loan applications into the groups of acceptance or rejection, and compare the model results with the actual decisions made by loan officers. Data were collected from a leading bank in Central New York. The sample contains important financial statement and business information of borrowers and the loan officers' decisions. We conduct the network training on the data sample and find that the neural network has a stronger discriminating power for classifying the acceptance and rejection groups than traditional parametric and nonparametric classifiers. The results show that the neural network model has a high predictive ability. Our findings suggest that neural networks can be a very useful tool for enhancing small-business lending decisions and reducing loan processing time and costs.     

小电流接地系统中发生单相接地时的判别

文章对小电流接地系统发生单相接地时的特点、危害及判别方法进行了分析。     

Nonuniform DIF Detection using Discriminant Logistic Analysis and Multinomial Logistic Regression: A comparison for polytomous items

This study focused on the effectiveness in nonuniform polytomous item DIF detection using Discriminant Logistic Analysis (DLA) and Multinomial Logistic Regression (MLR). A computer simulation study was conducted to compare the effect of using DLA and MLR, applying either an iterative test purification procedure or non-iterative to detect nonuniform DIF. The conditions under study were: DIF effect size (0.5, 1.0 and 1.5), sample size (500 and 1000), percentage of DIF items in the test (0, 10 and 20%) and DIF type (nonuniform). The results suggest that DLA is more accurate than MLR in detecting DIF. However, the purification process only improved the correct detection rate when MLR was applied. The false positive rates for both procedures were similar. Moreover, when the test purification procedure was used, the proportion of non-DIF items that were detected as DIF decreased for both procedures, although the false positive rates were smaller for DLA than for MLR.     

Empirical Study on Financial Failure Prediction of Listed Companies

Since it is a gradual process for listed companies to plunge into financial failure, it is desirable to discern tho potential risks in advance. This paper, with the adoption of multiple discriminant analyzing approach, tries to find out optimal variables and financial failure predicting model for Chinese listed companies based on audited accounting data.     

Fisher判别分析模型在上市公司信用风险度量中的应用

以我国上市公司为研究对象,运用统计方法选取有效建模变量,建立了Fisher判别分析预测模型,对上市公司的信用状况进行了实证分析。研究结果显示该模型总的判别准确率为90.38%,与国内已有的研究成果相比有较高的判别准确性,对于证券投资者和分析人员在现有的条件下运用现代信用风险度量模型具有重要的应用价值。     

Aplicación de análisis discriminante para evaluar la productividad como resultado de la certificación BASC en las empresas de la ciudad de Cartagena

This research paper presents the evaluation of productivity in companies in the city of Cartagena as a result of the certification of said companies in the Business Anti-Smuggling Coalition (BASC). The methodology used calculated productivity indicators at 23 companies certified at BASC. Next, we used the Discriminant Analysis technique to explain the belonging and discrimination of each group of productivity indicators evaluated, resulting in the correlation between certified companies and increased productivity indices for 2008 and 2010. From the discriminant function obtained and the statistics analyzed, it can be concluded that certification in BASC standard showed no improvement in the indicators selected, but presented significant differences in the Gross Profit / Value Added (IP1), Operating Income / Operating Capital (IP5) and Net Income / Operating Capital (IP6) indicators.     

论财务预警模型的构建——来自中国证券市场的经验数据

当前,上市公司的财务预警判别问题是国内外财务研究的热点,也取得了不少的成果,并建立了多种财务预警模型。以2009年主板上市公司的年度财务报表作为数据来源,从反映上市公司财务状况的偿债能力、盈利能力、营运能力、持续经营能力等四个方面考虑,初步确定了16个财务预警变量。首先通过单变量的描述性统计对这16个财务指标进行显著性判断;其次,采用多元统计中的逐步判别法确立出3个判别分析变量,从而构建了财务预警模型;最后,通过检验样本对该模型进行实证检验,证明该财务预警模型具有良好的判别效果。     

省级重点学科的识别模型研究 --以浙江省为例

高等院校重点学科的建设能对相关领域学科的发展起到带动作用，重点学科的发展对地区经济和社会等方面产生重大的影响。目前，我国对重点学科投入了大量的资源，教育部、省、市都有相关的重点学科扶植政策；然而对重点学科的识别办法不多且不很科学，导致了重点学科建设效果不尽人意。为了解决重点学科的识别问题，以浙江省为例，从综合评价的角度，采用判别分析，对省级重点学科的识别模型进行了研究。