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logit model中文是什么意思

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  • Thirdly , based on the same data , the logit model and neural network are extended to calculate the default risk premium by using the proposed eight - factor index system and five main influential factors of loss given default . finally , a practical application is presented
    通過(guò)結(jié)合影響違約概率的8參數(shù)指標(biāo)體系和影響違約損失率的五大因素,依次采用logit回歸法和神經(jīng)網(wǎng)絡(luò)方法對(duì)基準(zhǔn)利率加點(diǎn)修正模式中預(yù)期損失率進(jìn)行重點(diǎn)測(cè)算。
  • In the empirical section of my thesis , a parallel data set of 50 countries for the period 1986 - 2001 is used to estimate a series of logit models , with a binary exchange - rate regimes index as the dependent variable . the test results support the hypotheses in the theoretical discussion
    進(jìn)而本文利用50個(gè)中等收入國(guó)家從1986到2001年的面板數(shù)據(jù),以二元離散的匯率制度分類(lèi)指標(biāo)為因變量,對(duì)一系列的logit模型進(jìn)行估計(jì),所得到的結(jié)果支持本文的理論假設(shè)。
  • Literatures indicate that logit model , logistic model , probit model , mlr , cluster model , option model , proportion risk model , and discriminant analysis are the main effective methods and models when researching the determinants of residential mortgage default risk
    通過(guò)梳理文獻(xiàn)發(fā)現(xiàn), logit模型、 logistic模型、 probit模型、多元線性回歸、聚類(lèi)模型、期權(quán)模型和比例風(fēng)險(xiǎn)模型、判別分析是研究個(gè)人住房抵押貸款違約風(fēng)險(xiǎn)影響因素時(shí)采用的主要方法和模型。
  • As the interpreted variable we studied was dispersed variable , and was the most important type of technological service that farmers selected from a variety of technological services , the multiple logit model was adopted to estimate the determinants of the farmers " demand for technological services
    由于我們研究的被解釋變量是離散變量,而且是農(nóng)戶從多種技術(shù)服務(wù)中選出一種其認(rèn)為最重要的技術(shù)服務(wù)類(lèi)型,所以我們采用一般多元logit ( mutilplelogit )模型對(duì)農(nóng)戶的技術(shù)服務(wù)需求行為進(jìn)行參數(shù)估計(jì)。
  • This paper adopts factor analysis and stepwise discriminant analysis , based on financial and non - financial factors , to build the sme credit assessment indicator system whereby this paper builds the lda model and logit model . finally this paper empirically tests these models using relating data
    本文采用因子分析和逐步判別分析相結(jié)合的方法,在綜合考慮財(cái)務(wù)和非財(cái)務(wù)因素的基礎(chǔ)上,建立適合于中小企業(yè)信用評(píng)估的指標(biāo)體系,分別構(gòu)建了基于該指標(biāo)體系的線型判別模型和logit回歸模型,并運(yùn)用國(guó)內(nèi)的相關(guān)數(shù)據(jù)進(jìn)行了實(shí)證。
  • The author discussed the four steps model and provided the ameliorative method of the logit model and the solution of the fictitious public traffic routes . firstly , the author discussed the result of survey of residents trip , concluded the primary character of residents trip and put forward the method of stratified random sampling plan on that .
    預(yù)測(cè)時(shí)采用了一種比較流行的“四階段模型法” ,針對(duì)“四階段模型法”的出行分布、交通分配子系統(tǒng)展開(kāi)了深入的討論,提出了針對(duì)重慶山城交通特點(diǎn)的“改進(jìn)的logit型的隨機(jī)路徑選擇模型”和“虛擬公交線路算法” 。
  • In this paper , we present a method of how to make factor anlysis when survey data compose of some item - nonresponses . we combine the factor anlysis model and response model , by treating the factors as latent variables which influence item response pobability , and assuming the response pobability has a logit model . after that , we give a two - step method to estimate the parameters
    在進(jìn)行因子分析時(shí),調(diào)查數(shù)據(jù)常常存在項(xiàng)目無(wú)回答的情況,本文將諸因子作為隱含變量,建立無(wú)回答概率與諸因子的統(tǒng)計(jì)模型,并給出模型參數(shù)的兩步估計(jì)方法,從而得到了存在項(xiàng)目無(wú)回答時(shí)的因子分析。
  • It uses factor analysis method and dualistic relative comparative method to account the ability place of a loan enterprise in its industry , which can confirm the station in its industry better . by using time series model to forecast an enterprise ' s cash flow in the future , we can measure the repayment ability of an enterprise . by using logit model to account the probability of default for a loan enterprise , we can estimate the possibility of its default
    運(yùn)用因子分析法和二元相對(duì)比較法計(jì)算貸款企業(yè)在本行業(yè)中的財(cái)務(wù)能力排名,更好地確定其在本行業(yè)中的地位;運(yùn)用時(shí)間序列模型預(yù)測(cè)企業(yè)未來(lái)的現(xiàn)金流量,從而測(cè)度貸款企業(yè)未來(lái)的還款能力;運(yùn)用logit模型計(jì)算貸款企業(yè)的違約概率,估計(jì)其違約的可能性;從貸款企業(yè)的行業(yè)風(fēng)險(xiǎn)、經(jīng)營(yíng)風(fēng)險(xiǎn)、管理風(fēng)險(xiǎn)、借款人還款意愿等方面對(duì)貸款企業(yè)的非財(cái)務(wù)因素進(jìn)行分析。
  • On the individual credit risk analysis , this thesis empirically compares two classical credit risk assessment models , that is , the accounting information - based logit model and the market information - based option - theoretic edf model on china ’ s listed companies ’ credit risk ; then this thesis discusses the application of new basel accord ’ s formula in the credit risk assessment of china ’ s listed companies . finally this thesis has drawn the following conclusions : first , intuitively , the logit model obviously has discriminant power and the edf model seemingly has certain power too
    在個(gè)體信用風(fēng)險(xiǎn)分析方面,本文首先選取了兩個(gè)典型的信用風(fēng)險(xiǎn)評(píng)估模型進(jìn)行了實(shí)證研究,即實(shí)證比較基于會(huì)計(jì)信息的logit模型和基于市場(chǎng)信息的期權(quán)理論模型- edf模型對(duì)我國(guó)上市公司信用風(fēng)險(xiǎn)的判別能力;然后根據(jù)新巴塞爾協(xié)議中有關(guān)公式對(duì)中國(guó)上市公司信用風(fēng)險(xiǎn)評(píng)估進(jìn)行了進(jìn)一步的討論。
  • By using the multi - linearity regression model and the non - linearity logit model on the 123 listed companies of china in 2002 respectively , this paper also documents : after controlling the firm characteristics variables , the corporate governance variable increases the explanation power of the multi - linearity equation and it is positively related to enterprise credit significantly ; in the non - linearity logit model , we find that corporate governance has different effects on the companies that own dissimilar credit ratings , the improvement of corporate governance will powerfully upgrade the enterprise credit especially when the company owns a lower credit rating
    在實(shí)證方面,本文運(yùn)用多元線性回歸法與logit非線性法對(duì)我國(guó)2002年123家上市公司進(jìn)行了實(shí)證研究:在多元線性回歸法中,在控制了影響企業(yè)信用的企業(yè)屬性變量的基礎(chǔ)方程中加入公司治理變量,發(fā)現(xiàn)公司治理變量的加入有助于加大方程的解釋力度,并且兩者在統(tǒng)計(jì)意義上顯著正相關(guān),說(shuō)明良好的公司治理能在一定程度上提升上市公司的信用水平;在logit非線性方程中,我們發(fā)現(xiàn)企業(yè)信用水平不同時(shí),公司治理對(duì)上市公司企業(yè)信用的影響是不同的,尤其是當(dāng)企業(yè)信用水平較低時(shí),公司治理的改善能在較大程度上提高上市公司的企業(yè)信用。
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