逐步判別分析的英文

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英文翻譯
造句

stepwise discriminant analysis

逐步 step by step; progressively; ...
判別 differentiate; distinguish; ...
分析 analyse
逐步判別分析法 gradual-discriminant analysis
復(fù)判別分析 multiple discriminant analysis
判別分析 discriminant analysis; discriminatory analysis; discriminatoryanalysis; diseriminant analysis
判別分析法 techniques of discriminant analysis
多重判別分析 multiple discriminant analysis
廣義判別分析 generalized discriminant analysis
聚類判別分析 cluster and discriminant analysis
線性判別分析 linear discriminant analysis
多變量判別分析法 multiple discriminant analysis
標(biāo)準(zhǔn)非線性判別分析 standard nonlinear discriminant analysis
陸地衛(wèi)星判別分析圖象 landsat discriminant analysis image
判別分?jǐn)?shù) criteria score
線性判別分類 linear discrimination classification
辨別分析 discriminant analysis
差別分析 differential analysis; discriminant analysis; discriminated analysis
分別分析 distinguishing analysis; individual analysis
復(fù)識(shí)別分析 multiple discriminant analysis
鑒別分析 discriminatory analysis
區(qū)別分析 discrimination analysis
篩別分析 mechanical gradation; mesh analysis
識(shí)別分析 discriminatory analysis
逐步分析 stepwise analysis

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例句與用法

Stepwise discriminant analysis used for discriminant sediment source of the south of the yellow sea
南黃海表層沉積物物質(zhì)來源的逐步判別分析
Progressively disc riminant analysis of clinical and anatomic factors of lumbar inter vertebral disc herniation
腰椎間盤突出癥影響因素的逐步判別分析
The wheat growing area in central shaanxi was divided into three climatic zones based on the data of climatic factors and the disease severity for 20 years by using progressive discriminatory analysis
利用20余年的氣候資料和病情數(shù)據(jù)，以逐步判別分析法將關(guān)中麥區(qū)各縣(市)劃分為三大氣候區(qū)。
Abstract : the wheat growing area in central shaanxi was divided into three climatic zones based on the data of climatic factors and the disease severity for 20 years by using progressive discriminatory analysis
文摘:利用20余年的氣候資料和病情數(shù)據(jù)，以逐步判別分析法將關(guān)中麥區(qū)各縣(市)劃分為三大氣候區(qū)。
Based on the analysis of types and sources of risks that confront commercial banks , the paper first determines the methodology for its research , i . e . mathematical statistics for quantity factors and the fuzzy discriminating analysis for the quality factors . combining the evaluation approaches of the banks in germany and china , the paper gets 13 common indices , and with mathematical statistical method , chooses 4 factors that will influence customer credits : equity capital / total asset , velocity of stock in trade , velocity of total assets and payoff rate of total sale . the four factors with liquidity factor reflect the customer ' s financial characteristics , such as capital structure , operation , earnings and liquidity
在理論分析的基礎(chǔ)上，結(jié)合德國和中國有關(guān)銀行的客戶資信評(píng)價(jià)方法，在得到影響客戶信用13個(gè)常用指標(biāo)的基礎(chǔ)上，利用數(shù)理統(tǒng)計(jì)分析方法( t檢驗(yàn)、多元判別分析和逐步判別分析等)得出影響客戶信用的四個(gè)因素：自有資本率、存貨周轉(zhuǎn)率、總資產(chǎn)周轉(zhuǎn)率和銷售盈利率，他們反映了企業(yè)資本結(jié)構(gòu)、經(jīng)營狀況和盈利水平，加入企業(yè)的流動(dòng)性以后，它們決定了客戶的財(cái)務(wù)特征。
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。
At the part of empirical study , this paper chooses 124 a - stock listed companies from stock exchange of shanghai and shenzhen as research samples , makes use of the step method to filter the 13 possible variables ( including 3 debt - paying ability indexes , 3 operating ability indexes , 4 profitability indexes and 3 cash flow indexes ) in analysis and finally sets up discrimimant models by fisher discrimimant rules with the samples " financial data . then this paper validates the stability of these models using the self - validation and cross - validation before analyzing the prediction ability of these models with outside - validation
實(shí)證研究部分主要以我國深、滬兩市124家上市公司為研究樣本，采用上市公司1998年至2001年的實(shí)際財(cái)務(wù)數(shù)據(jù)，運(yùn)用逐步判別分析方法對(duì)擬進(jìn)入模型的13個(gè)變量（包括3個(gè)償債能力指標(biāo)、 3個(gè)經(jīng)營能力指標(biāo)、 4個(gè)獲利能力指標(biāo)及3個(gè)現(xiàn)金流量指標(biāo)）進(jìn)行篩選，并根據(jù)fisher判別準(zhǔn)則建立判別模型，在運(yùn)用自身驗(yàn)證法與交互式驗(yàn)證法對(duì)模型的穩(wěn)定性加以驗(yàn)證后，運(yùn)用外部數(shù)據(jù)驗(yàn)證法對(duì)模型的預(yù)測能力進(jìn)行了分析。
What ' s more , the credit enterprises are not in a closed system , they would be inevitably influenced and confined by macroeconomic and market environments . according to the current domestic situation , and based on previous domestic studies with only financial ratios , this paper extends the logit regression model by integrating financial and non - financial factors , considering lag of macroeconomic factor and eliminating interindustry effect for the prediction of financially distressed firms . the proposed eight - factor index system is used to calculate the probability of default
鑒于傳統(tǒng)的以財(cái)務(wù)因素分析為主的企業(yè)信用風(fēng)險(xiǎn)研究的局限性,將信用風(fēng)險(xiǎn)因素分析作為研究重點(diǎn)之一,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,分別建立了基于原始財(cái)務(wù)指標(biāo)(模型i ) 、行業(yè)相對(duì)財(cái)務(wù)指標(biāo)(模型ii ) 、行業(yè)相對(duì)財(cái)務(wù)指標(biāo)和非財(cái)務(wù)指標(biāo)(模型iii ) 、行業(yè)相對(duì)財(cái)務(wù)指標(biāo)和考慮宏觀滯后影響的非財(cái)務(wù)指標(biāo)(模型iv ) logit回歸模型,并運(yùn)用國內(nèi)相關(guān)數(shù)據(jù)進(jìn)行了實(shí)證,最終作者提出的8參數(shù)指標(biāo)體系將用以進(jìn)一步測算企業(yè)的違約概率。