例句與造句

1. Estimation of the distributing rates of high - speed passenger flows with the logit model
   模型對(duì)高速客流分擔(dān)率的估計(jì)
2. Dynamic assignment of microscope traffic simulation based on improved logit model
   交通仿真在動(dòng)態(tài)交通分配應(yīng)用研究中的嘗試
3. Evaluation of sales promotion effects on fast moving consumer goods a multinomial logit model
   模型的快速消費(fèi)品促銷效果評(píng)估
4. This paper applied multinomial logit models to analyze the choice behavior of colored tv consumers
   摘要本文應(yīng)用多項(xiàng)羅機(jī)模式分析彩視機(jī)消費(fèi)者之選擇行為。
5. After compairing the characters of logit model and probit model , this paper chooses logit model as the parking choice model
   接著在分析了logit模型和probit模型的優(yōu)缺點(diǎn)后，決定選用logit模型作為停車場選擇模型。
6. It's difficult to find logit model in a sentence. 用logit model造句挺難的
7. The empirical results show that using the above indicator system to evaluate the sme credit risk , the lda model is better than logit model
   研究及實(shí)證結(jié)果表明,運(yùn)用該指標(biāo)體系在針對(duì)中小企業(yè)的信用風(fēng)險(xiǎn)判斷中,線型判別模型的性能優(yōu)于logit回歸模型。
8. We employ probit and logit model to acquire the main factors influencing tfp growth . in the end , the conclusion is provided
   該部分簡要介紹probit模型及l(fā)ogit模型，并運(yùn)用以上回歸方法聯(lián)系交通運(yùn)輸業(yè)實(shí)際情況來分析影響交通運(yùn)輸業(yè)全要素生產(chǎn)率的主要因素。
9. One is that we investigate a sample of 87 listed companies between 2000 and 2002 using a binary logit model and a multinomial logit model to determine if they follow the pecking order
   首先，運(yùn)用logit回歸模型對(duì)樣本公司2000年? 2002年的融資行為是否符合優(yōu)序融資理論進(jìn)行實(shí)證檢驗(yàn)。實(shí)證結(jié)果表明，我國上市公司的融資選擇與優(yōu)序融資理論不符。
10. Based on rum ( random utility maximization ) logit model is disaggregate method in modern traffic planning theory . because of small investigating capability with accurate prediction logit model is valuable in mode - split research
    Logit模型是基于最大效用原則的離散選擇模型。由于其不需要很大的調(diào)查樣本卻同樣能提供較準(zhǔn)確的分類信息，它在交通方式劃分研究上有著廣泛的應(yīng)用前景。
11. The paper makes use of the knowledge of real estate economics 、 investment economics 、 technique economics 、 urban economics and statistics , does the analysis on the discrete choices of the consumers and the investors and builds up three logit models
    文章運(yùn)用房地產(chǎn)經(jīng)濟(jì)學(xué)、投資經(jīng)濟(jì)學(xué)、技術(shù)經(jīng)濟(jì)學(xué)、城市經(jīng)濟(jì)學(xué)以及統(tǒng)計(jì)學(xué)等學(xué)科的知識(shí)，分析了消費(fèi)者和投資者各自的離散選擇，建立了三個(gè)邏輯特模型( thelogitmodel ) 。
12. 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)測算。
13. 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)。
14. 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。
15. 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)。
16. 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)用國內(nèi)的相關(guān)數(shù)據(jù)進(jìn)行了實(shí)證。
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