判別分析法 的英文怎麼說

中文拼音 [pànbiéfēnxīfǎ]
判別分析法 英文
techniques of discriminant analysis
  • 判 : Ⅰ動詞1 （分開; 分辨） distinguish; discriminate 2 （評定） judge; decide 3 （判決） sentence; con...
  • 別 : 別動詞[方言] （改變） change （sb. 's opinion）
  • 分 : 分Ⅰ名詞1. （成分） component 2. （職責和權利的限度） what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] （料想） judge
  • 析 : Ⅰ動詞1. （分開; 散開） divide; separate 2. （分析） analyse; dissect; resolve Ⅱ名詞（姓氏） a surname
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  • 判別 : differentiate; distinguish; discriminate
  1. Applying discriminant analysis to build index system of periodicals estimate

    運用判別分析法建立的期刊評估指標體系
  2. 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

    通過梳理文獻發現， logit模型、 logistic模型、 probit模型、多元線性回歸、聚類模型、期權模型和比例風險模型、判別分析是研究個人住房抵押貸款違約風險影響因素時採用的主要方法和模型。
  3. By using the optimized covariance matrices to optimize the new regularized discriminant analysis ( rda ), the correct classification rate is higher than that by the old rda

    利用優化的協方差矩陣對正則化判別分析方法進行優化，其模式分類正確率有顯著提高。
  4. On new arithmetic method of sequent discrinant analysis and its application

    有序判別分析新演算法及其應用
  5. Application study for 2dpca in face recognition

    判別分析演算法在人耳識別中的應用
  6. We analyzed the data by applying analysis of variance ( av ), multiple stepwise regression analysis ( msra ), canonical correlation analysis ( cca ) and so on. additionally, new developing statistical method, linear structural relations ( l1srel ), was employed to throw light on the substantial acting mechanism

    應用傳統的（協）方差分析、多元逐步回歸分析、主成分回歸分析、嶺回歸分析、判別分析和典型相關分析等統計方法對影響學習成績的因素進行分析，並採用新近發展的線性結構方程模型（ linearstructuralrelations ， lisrel ）分析影響學習成績的? ?各個因素並探討其影響機制。
  7. 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，採用上市公司1998年至2001年的實際財務數據，運用逐步判別分析方法對擬進入模型的13個變量（包括3個償債能力指標、 3個經營能力指標、 4個獲利能力指標及3個現金流量指標）進行篩選，並根據fisher判別準則建立判別模型，在運用自身驗證法與互動式驗證法對模型的穩定性加以驗證后，運用外部數據驗證法對模型的預測能力進行了分析。
  8. The correctness is over 99 %. ( 5 ) shape features studied were aspect, first invariant central moment, elongatedness, roundness, circularity and thickness. aspect and first invariant central moment are the most effective shape features for identifying monocotyledonous weed from dicotyledonous weed, and the correctness was 93 %

    （ 4 ）利用修正的色度公式，由判別分析法確定色度閾值，對雜草圖像進行閾值分割，能夠有效地識別植物與非植物背景，正確識別率在99以上，但色度的計算量大於過綠特徵的計算量，不利於雜草識別速度的提高。
  9. An application of discriminatory analysis method in the environmental quality evaluation

    判別分析法在環境質量評價中的應用
  10. 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餘年的氣候資料和病情數據，以逐步判別分析法將關中麥區各縣（市）劃分為三大氣候區。
  11. 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餘年的氣候資料和病情數據，以逐步判別分析法將關中麥區各縣（市）劃分為三大氣候區。
  12. 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

    在理論分析的基礎上，結合德國和中國有關銀行的客戶資信評價方法，在得到影響客戶信用13個常用指標的基礎上，利用數理統計分析方法（ t檢驗、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因素：自有資本率、存貨周轉率、總資產周轉率和銷售盈利率，他們反映了企業資本結構、經營狀況和盈利水平，加入企業的流動性以後，它們決定了客戶的財務特徵。
  13. It is desirable for all related insiders and outsiders to discern all potential risk in advance. this paper, with the adoption of special treatment resulted from abnormal financial position as the indicator of financial distress, the univariate variable analysis and multiple variable analysis as the research approach and some financial ratios as variable, tries to find an optimal financial distress prediction model of chinese manufacturing listed companies based on public accounting data. our finding demonstrate that five general financial ratios and three ratios concerning the cash flow have better predicting ability, the erroneous classification ratio are low. these five general financial ratios are earning per share, return on net assets, return on gross assets, growth rate of net profits, growth rate of net assets ; the three ratios concerning the cash flow are net cash flows from operating activities per share, net re - earnable cash flows / current liability, net cash flows from operating activities / net profit

    研究結果表明，在單變量分析中，每股收益、凈資產收益率、總資產報酬率、凈利潤增長率、凈資產增長率這5個財務比率的錯分率較低、預測能力較強；經營活動凈現金流量與凈利潤之比、每股經營現金流量、可重復賺取的現金凈流量與流動負債之比這三個現金流量財務比率對于預測上市公司財務困境具有有效性；多變量分析中，應用費雪判別分析和典則判別分析得到兩個判別模型，在典則判別分析中，應用兩種方法確定所建模型的最佳分界點，檢測證明應用所得兩個判別模型進行財務困境預測的準確率很高。
  14. This study employed six data mining methods, including logistic regression, discriminant analysis, artificial neural networks, k - nearest - neighbors, na ? ve bayes classifier, and classification trees, to find the most important factors of earthquake - caused landslide

    本研究利用六種資料探勘方法，包括邏輯回歸、判別分析、類神經網路、最近鄰法、貝氏分類器、分類樹，探討影響地震引起山崩的重要因子。
  15. Study the application of discriminant analysis in mc market segmentation. use discriminant analysis to recognize the type of a customer in order to introduce the suitable products for the customer

    研究了判別分析法在客戶群體需求傾向模型中的應用：應用判別分析法根據客戶的特徵識別該客戶所屬的群體類型，達到向客戶介紹適合的產品的目的。
  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

    本文採用因子分析和逐步判別分析相結合的方法，在綜合考慮財務和非財務因素的基礎上，建立適合於中小企業信用評估的指標體系，分別構建了基於該指標體系的線型判別模型和logit回歸模型，並運用國內的相關數據進行了實證。
  17. Ttis paper sms the recen research results in the topic, maks a briefly descripon of the foral risks, then researthes on the mechanism to cause them, introduces way to assess the level of anancial risk. based on it, this paper finds out the main finaniai ratios to influeoce risk through survtw, and bulld the financial riskleve forecasting model by the method of two group ofdiscdrinate analysis. ih the research, 60 listed compedes are selected as our statstical analsis samples and cataloged into two groups, which has 30 samples, one is company which is no specially wdopn st ) the othe is on the cotw ( st )

    本文對已有研究成果進行了總結回顧，接著從我國上市公司財務風險的現狀分析入手，揭示了上市公司總體財務風險的水平，並從多方面具體分析了上市公司財務風險的成因，然後介紹了財務風險評估的幾種常用方法；在此基礎上，採用問卷調查法確定了財務風險預警指標體系后，選擇滬深兩市60家上市公司作為估計樣本（其中30家為st公司， 30家為非st公司） ，運用兩組判別分析法建立了上市公司財務風險預警模型，再選擇了20家上市公司作為測試樣本，來測試已建立模型的效果；對ykf公司的財務風險進行綜合分析，其結論與運用建立的預警模型的測試結果相吻合，故對其發出了財務風險預警；最後，針對我國上市公司的實際情況，從完善公司治理機制、重塑社會信用體系等方面提出防範公司財務風險的對策和建議。
  18. ( 3 ) hue can identify cattle from backgroud through ostu ' s thresholding, the correctness is over 98 %. and it ' s insensitive to earth, the illumiation intensity and shadow

    （ 3 ）利用判別分析法確定閾值，色度能有效的識別肉牛和背景，識別正確率在98以上，且對土壤、光照強度變化、建築物陰影的敏感性小。
  19. This paper predict and alarm the financial crisis of express way companies with the method of financial ratio analysis and discriminant analysis and present the model of expressway operation with multi - variant discriminant method

    本文利用財務指標分析法及判別分析法，對高速公路公司財務危機進行預測和警報，並運用多元判別分析法推導出高速公路行業的財務預警模型。
  20. Chapter iv : financial prediction model of expressway company : discriminant analysis and blur maths are used in the financial prediction, make the prediction model special for expressway companies with discriminant analysis method

    第四章：高速公路公司財務預警模型。將判別分析及模糊數學運用於財務預警中，利用判別分析法建立了有高速公路公司行業特色的預警模型。
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