multivariate discriminant analysis for assessing prognosis after intracerebral hemorrhage in the basal ganglia 基底節(jié)出血預后的判別分析研究
Comparing with famous international commercial banks, banks in china have a long way to go . by summarizing and analyzing the main approaches and models in the area of evaluating borrowers for commercial banks, this paper used three dominant methods ( i . e . multivariate discriminant analysis, logit analysis, and neural network ) to select the characteristic financial indexes of default risk for enterprise borrowers 通過對國內(nèi)外商業(yè)銀行信用風險管理方法進行總結,分為單個信用個體的信用度量和資產(chǎn)組合信用度量,從數(shù)據(jù)挖掘的角度將信用風險度量模型劃分為統(tǒng)計判別模型、金融理論模型和信息技術模型,并對其中主流的風險度量模型和方法作了分析和比較。
By summarizing and analyzing the main approaches and models in the area of evaluating borrowers for commercial banks, this paper used three dominant methods ( i . e . multivariate discriminant analysis, logit analysis, and neural network ) to select the characteristic financial indexes of default risk for enterprise borrowers 通過對國內(nèi)外商業(yè)銀行信用風險管理方法進行綜述,從數(shù)據(jù)來源的角度將信用風險評估模型劃分為統(tǒng)計判別模型、結構化模型和簡約化模型,并對其中主流的風險評估模型和方法作了分析和比較。
Taken the fraudulent accounting information of china ’ s listed companies as the object, this paper applies the quantificational research of identifying fraud to china ’ s securities business . according to the audit opinion of annual financial reporting of listed companies, we identify two kinds of empirical samples and choose twenty eight financial indices . making use of multivariate discriminant analysis and artificial neural network based on l-m algorithm, we build up three models of identifying fraudulent accounting information of listed companies in china 本文將國外會計信息失真識別的定量研究應用于中國,以中國上市公司的會計信息失真為研究對象,根據(jù)上市公司年報的審計意見構建實證樣本,選取反映企業(yè)經(jīng)營情況的28個指標,運用多元判別分析方法和基于l-m算法的bp神經(jīng)網(wǎng)絡,建立了三個我國上市公司會計信息失真識別的定量模型。