逐步回歸方法 的英文怎麼說

中文拼音 [zhúbùhuíguīfāngfǎ]
逐步回歸方法 英文
stepwise regre ion method
  • 逐 : 動詞1. （追趕） pursue; chase; run after 2. （驅逐） drive out; expel; banish 3. （挨著次序） one by one
  • 步 : Ⅰ名詞1 （步度; 腳步） pace; step 2 （階段） stage; step 3 （地步; 境地） condition; situation; st...
  • 回 : 回構詞成分。
  • 歸 : Ⅰ動詞1 （返回） return; go back to 2 （還給; 歸還） return sth to; give back to 3 （趨向或集中於...
  • 方 : Ⅰ名詞1 （方形; 方體） square 2 [數學] （乘方） involution; power 3 （方向） direction 4 （方面） ...
  • 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...
  • 逐步 : 1 （一步一步地） step by step; progressively; gradually; proceed orderly 2 [數學] successive step...
  • 方法 : method; means; way; technique; process; procedure; plan; device; recipe; fashion; tool; maneuver
  1. The article investigates shanghai list companies from 1998 year to 2002 year ' s data, and gets two models by the methods of correlation and step - wise regression. by comparing two models " s response to good and bad earnings announcement in the difference level of market, the conclusion of this article is : ( 1 ) the price response to bad and good earnings announcement is asymmetry ; ( 2 ) the price response to bad and good earnings announcement changes as the relative level of the market changes ; ( 3 ) the notion that as the market rises, the asymmetry in the response to good and bad news becomes relatively more pronounced for glamour stocks is not applied to our security market

    通過對1998年至2002年所有滬市上市公司五年的數據進行實證分析，運用相關性分析、多元逐步回歸等方法，得到兩個多元回歸模型，對比兩個模型在不同市場狀態下的反應，得到了以下結論： （ 1 ）市場在年報好壞盈餘信息的公布情況方面反應是不對稱的； （ 2 ）市場對好壞盈利信息反應的不對稱性的程度主要依賴于整個市場所處的狀態； （ 3 ）隨著市場不斷好轉，魅力股對壞盈利信息的反應並沒有變得更強烈，同時對好壞盈利信息的反應差別也不大。
  2. Thus this paper puts forward the dynamic time series period analysis and prediction model. it combines the basic principle of the stepwise regression period analysis to the multiplayer - transfer method. it can not only effectively select every latent period of a time series, but also take advantage of the selected latent periods to make a long - term prediction

    因此本文提出了動態時間序列周期分析預測模型，它是將多層遞階方法與逐步回歸周期分析的基本原理相結合，使之既可以有效地選取時間序列的各個隱含周期，也可以利用所選取的隱含周期作較長的時間預測。
  3. ( ii ) this paper makes the annals data of the listed companies in 2004 as sample, and gets earnings per share and the regression equation of the four financial indexes which have noticeable effect on it via stepwise regression method. the four financial indexes which affect earnings per share are the net asset per share, unaccommodated profit per share, quick ratio and return on assets respectively. the equation provides a

    （二） 、以河南省上市公司2004年年報數據作為樣本，應用逐步回歸方法，得到每股收益和對它有顯著影響的四個財務指標的回歸方程，影響每股收益的四個財務指標分別是:每股凈資產、每股未分配利潤、速動比率和總資產報酬率，為這些上市公司提高每股收益提供參考。
  4. Methods the relations between vital capacity pulmonary ventilation and age, height, body weight chest circumference and sitting height were analyzed with multiple correlation and stepwise regression with spss

    方法對大慶市7 ~ 18歲中小學生肺活量、肺通氣量與年齡、身高、體重、胸圍、坐高進行多元相關及逐步回歸分析。
  5. 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。
  6. The analytical approaches involved in the dissertation includes cross section analysis 、 time series regression 、 step by step regression and contrast analysis, the following technologies also are applied, including computerizing lower partial moments ( lpm ) with matlab, processing revenue data with excel, regression analysis with eviews

    主要運用橫截面分析、時間序列回歸、逐步回歸和對比分析方法，還用到matlab編程計算下偏矩風險值， excel處理收益數據， eviews回歸分析。
  7. The uniform design of experiment is used and the stepwise technique is adopted to analyze the result, so that the sensitivity and compatibility among bas oil and additives are studied

    本文應用均勻設計試驗方法，用逐步回歸對試驗結果進行處理，分析了基礎油對添加劑的感受性及添加劑之間的配伍性。
  8. Using compressed air and transformer oil as working substance, this paper studied the pressure characteristic of internal - mixing nozzle and acquired the experimental relation on the pressure in the mixing chamber of internal - mixing nozzle against the operation parameters and structure parameters according to the method of step by step regression

    摘要以壓縮空氣和變壓器油為工質對內混式介質霧化油噴嘴的流量特性進行實驗研究，並通過逐步回歸分析的方法獲得了內混式介質霧化噴嘴油、氣流量系數與運行及結構參數的實驗關系式，可供設計使用部門參考。
  9. Based on the capacitance distributions from 12 - electrod capacitance sensor, using stepwise regression method, the capacitance relation of oil - gas two phase flow based on flow pattern is developed

    摘要基於12電極陣列電容傳感器提供的電容測量信息，採用逐步回歸方法，獲得了與流型相關的電容關聯式。
  10. The process of setting up the ship form main dimensions is mainly relied on the multivariate and stepwise regression in the past which based on the massive subsistent data including the main dimensions, light weight, storage capacity, stability and total cost and so on. with the appearance of the technology of ann and ai, the bp network is used predicting and simulating in all kinds of fields

    船型主尺度要素的建立，以前主要採用的是基於數理統計理論的回歸分析方法，如多元回歸分析方法和逐步回歸分析方法等，它是建立在大量現有實船數據的基礎之上，對船型主尺度要素、空船重量、艙容、穩性和造價等要素進行統計回歸。
  11. In this paper, based on the soil water infiltration multifactorial influence tests with three species of soil texture and different husbandry condition and monofactorial influence tests with four species of soil texture in indoor, the basic infiltration characteristics, reduction infiltration mechanism and various factors are studied systematically. major factors influencing soil infiltration characteristics, resilience between influence factors and soil water infiltration parameter and influence priority are analyzed by mathematics statistics method, stepwise regression models with multiple units of soil water infiltration parameters are build up and verified

    本文基於大田三種質地、不同耕作條件下土壤水分入滲的多因素影響試驗和室內四種質地土壤條件下的單因素影響試驗，系統地研究了土壤水分入滲特性的變化過程，阻滲機理和影響土壤水分入滲特性的各種因素，藉助數理統計方法分析影響土壤水分入滲特性的主要因素，各影響因素與土壤水分入滲參數間的相關性及其影響的先後次序。建立、驗證了土壤水分入滲參數的多元逐步回歸模型。
  12. Chapter 5 based on studying the factors affecting the pricing of ipos, combining multifactor step regress method, concludes ipos pricing model, demonstrate the factors affecting the pricing of ipos

    第五章運用多元因素逐步回歸方法，構建ipo定價模型，進一步深入研究ipo定價影響因素。
  13. Through the methods of multiple linear stepwise regressions, the main environment factors were found and multiple linear regression models among the transpiration rate and environment factors were set up

    通過多元線性逐步回歸方法，得到了影響沙質海岸蒸騰速率的主要環境因子，及其與土壤呼吸速率之間的多元回歸模型。
  14. ( 6 ) the reservoir operation function is established utilizing the optimal dispatching results. the state variable and decision variable of the operation function is discussed, and the stepwise regression method is used to derive the operation function. because of the nonlinear features of the function have n ' t been reflected in traditional regression methods, the back - propagation neural network model is introduced to establish the operation function

    （ 6 ）利用水庫優化調度結果建立水庫調度函數，在分析水庫調度函數各特徵量的基礎上，介紹了用逐步回歸方法建立水庫調度函數的具體過程，考慮到傳統回歸方法未能反映調度函數的非線性特性，引入bp神經網路模型求解模型，建立水庫調度函數。
  15. Evidence suggests that the prognostic ability of the new model with high stability, when hidden nodes changing nearby input nodes and training times changing at the certain extent, is significantly better than traditional step wise regression model mainly due to the new model condensing the more forecasting information, properly utilizing the ability of ann self - adaptive learning and nonlinear mapping. but the linear regression technique only selects several predictors by the f value, many predictors information with high relative coefficients is not included. so the new model proposed in this paper is effective and is of a very good prospect in the atmospheric sciences fields

    進一步深入分析研究發現，本文提出的這種基於主成分的神經網路預報模型，預報精度明顯高於傳統的逐步回歸方法，其主要原因是這種新的預報模型集中了眾多預報因子的預報信息，並有效地利用了人工神經網路方法的自組織和自適應的非線性映射能力；而傳統的逐步回歸方法是一種線性方法，並且逐步回歸方法只是根據f值大小從眾多預報因子中選取幾個預報因子，其餘預報因子的預報信息被舍棄。
  16. For comparing the intensity of 9 institutional factors, i use gradual return methord, put these institutional factor variables into the same equation, and have drawn the following conclusion : formally restricted legal institutional arrangement is most intensity among three variables, secondly it is the institutional arrangement of enterprises operation expenses. finally, on the basis of analyzing factor influence degree of the institution, i have put forward the policy recommendations on the location choice to the fdi of our country to the

    為了比較這9種制度安排對中國對外直接投資區位選擇的影響程度強弱，我們還運用了從一般到特殊的逐步回歸方法，把9個制度因素變量放入同一方程進行回歸，得出了如下結論:在三類變量中起作用最強的是正式約束的法律制度安排，其次是影響企業運行費用的制度安排，最後是經濟制度安排。
  17. Aiming at the problem on taking no account of relation of forecast factors and instability of regression results caused by selected factors with no orthonormalization which would bring out error to computational results, monadic linear regression analysis and nature orthonormalization function as well as stepwise regression were integrated to establish forecast models of cold in nanjing and upper respiratory tract infection, cerebral hemorrhage as well as cerebral infarction in jinhua

    過去在選擇預報因子時沒有考慮預報因子間的相關性，挑選的預報因子由於非正交使回歸計算的結果不穩定，給計算帶來一定的誤差。針對這一問題，文章將一元線性回歸分析、自然正交函數法（ eof ）和逐步回歸方法結合起來，建立了南京感冒以及金華的上呼吸道感染、腦出血和腦梗塞的發病指數預報模型。並將模型結果與逐步回歸法建立的模型進行比較。
  18. Three models are established first by linear regression analysis with the experiment data of practical ship plate. through comparisons between the three models obtained, the effect of each parameter on the local contraction, is examined, the conditions of application are estimated, and explanations are given to the error induced in the models obtained. 3

    首先選擇影響成型的主要變形參數，運用數理統計原理及逐步回歸分析方法，對945鋼板測試數據進行回歸分析，建立了三種變形參數的回歸模型，最後比較分析這三種回歸公式的回歸效果，考察回歸公式中各變形參數對變形量的影響程度，給出適用條件，分析誤差項產生的原因。
  19. Fiscal revenue comes mainly from tax, it is important to make correct tax forecast model for the adjustment of macro economy. in this paper i use econometric methods to build up var model, vecm, ecm and stepwise regression tax forecast model

    本文運用現代計量經濟方法，分別建立了向量自回歸（ var ）模型，向量誤差修正模型（ vecm ） ，誤差修正模型（ ecm ） ，逐步回歸稅收收入預測模型。
  20. Consequently, it is very necessary to make a general analysis about these influencing factors. at the first, this paper makes an analysis on the whole sample and draw a conclusion as follows : the stock - keeping ratio of management supervisors in ( msr ) chinese public companies is low, evenly distributed and vary acutely. secondly, this paper generalizes seven predictors from corporation ' s performance, ability of value development, property structure, character of human resource, and asset to explain the dependent variable msr by a multiply linearity equation

    其次，本文從業績、價值成長能力、股權結構、管理者人力資本特徵以及公司規模五個方面出發，抽象出對管理層持股具有影響作用的七個解釋變量，構造了以管理層持股比例為被解釋變量的多元線性回歸方程，利用spss11 . 0軟體，採用全部納入法和逐步回歸分析法進行回歸擬合，並採用標準參數檢驗（ t檢驗和f檢驗）來確定其相關顯著性。
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