stepwise regression 中文意思是什麼

stepwise regression 解釋
分段回歸
  • stepwise : adj. 1. 逐步的，逐漸的，分段的。2. 【音】轉換音級的。adv. 按階段地，逐步地。
  • regression : n. 1. 復歸，回歸。2. 退步，退化。3. 【天文學】退行。adj. -sive ,-sively adv.
  1. Application of stepwise regression analysis in move contrail fitting of automobile gear shifting manipulator

    逐步多元回歸分析在汽車換擋機械手運動軌跡擬合中的應用
  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. The stepwise regression analysis of yields of tomato breeding lines

    番茄品系產量的逐步回歸分析
  4. Analysis for the treatment of hepatitis c by multiple stepwise regression

    丙型肝炎治療的多因素分析
  5. Application of stepwise regression to fire modeling of an anti - ship missile

    逐步回歸法在反艦導彈火控建模中的應用
  6. ( 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。
  7. 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。
  8. 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。
  9. During the modeling of technological designing, sas release6. 12 statistic analysis software are applied on correlation and stepwise regression for cocoon - cooking parameters and material data of past years. the significance test and f test are used to analyze the result. we constituted the primary model of cocoon - cooking technique

    工藝設計建模過程中，利用sasrelease6 . 12統計分析軟體對歷年的煮繭參數和原料繭數據進行相關分析和逐步回歸分析，對分析結果進行了顯著性檢驗和f測驗，建立了煮繭工藝的初步模型，並結合一些制約因素進一步修正，以期達到最合理地利用原料、設備和人力，並可通過優化設計獲得工藝設計的最佳參數組合，得到最優工藝模型。
  10. A multivariate stepwise regression analysis revealed that physical therapy was associated with improved functional outcome

    多變項回歸分析顯示物理治療與日常生活功能分數進步有明顯相關。
  11. The real runoff time series was divided into the high frequency item and the low frequency item with the help of the wavelet analysis first, then the two items were modeled by chaos theory and the stepwise regression algorithm, at last the output of the two models were added together.

    論文首先藉助小波分析，將實測徑流時間序列分解為高頻項和低頻項兩項，其次對這兩項分別用混沌理論和逐步回歸理論建模，其中混沌預報藉助基於自組織法求解的的volterra級數來完成，然後將兩者結果疊加起來。
  12. Based on polymerization reaction of the nylon - 6 rubberized cord fabric production of distributed control system in yangzhou organic chemical plant computer integrated manufacturing system ( yh - cims / dcs ), the multiple stepwise regression method was used to build the statistic mathematical models of the molecule weight and the monomer quantum of casting slice belt. then the optimization model of polymerization reaction was presented, which was solved by using simulation annealing algorithm to obtain the best techniques parameters. the improved hybrid genetic algorithm and back propagation algorithm are combined to train neural network, brought out the neural network prediction model of casting slice belt ' s average molecule weight to guide the technologist on - line

    提出了流程工業生產過程操作優化策略和應用實施方法，包括生產過程離線優化策略、非線性問題求解策略、在線優化模型及學習策略；結合揚州有機化工廠計算機集成製造系統集散控制系統（ yh - cims dcs ）的實施，針對錦綸? 6浸膠南京理工大學博士學位論文摘要簾于布生產中己內酚胺聚合反應過程優化控制這一工程實際問題，採用統計建模方法，建立了聚合反應過程的優化模型；為求解所得的優化模型，提出了種改進的有約束條件下的模擬退火演算法，該演算法能避免陷於局部最優解，有效地提高了所求解的全局性和可靠性：提出了基於改進的ga演算法和sp演算法相結合的混合學習演算法，建立了基於神經網路的聚合反應過程生產目標在線預測模型，該演算法和模型滿足了生產中的實時性和實用性要求。
  13. 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。
  14. Taking non - finance chinese listed companies in a share securities market as the example, the paper applies statistical and metric method, rational analysis and empirical evidence to study the existing situation of the debt maturity structure and its impact factors and determinants. with the help of spss, the paper analyzes 656 sample companies ’ financial data from 1998 to 2004 to describes the debt maturity structure ’ s existing situation, while applies their financial data from 2001 to 2004 to analyze the determinants of debt maturity structure. in order to analyze the impact of trade and economic developing level, the paper employs 1164 non - finance companies ’ finance data of 2003 and the data of china statistical yearbook ( 2004 ). the paper also uses one - way anova and stepwise regression to help the empirical evidence

    其中，分析中國滬深a股市場中上市公司債務期限結構現狀時，選取了656家樣本公司在1998 - 2004年這七年間的財務數據;在綜合分析公司成長機會、公司規模、資產期限、公司質量、實際稅率和非債務稅盾等因素對中國a股市場中上市公司債務期限結構的決定性時，僅選取了上述樣本公司在2001 - 2004年這四年間的相關數據;分析行業特徵和經濟發展水平對我國債務期限結構的影響時，採用了2003年滬、深a股市場中1164家分佈於12個行業門類的非金融上市公司為研究對象，同時，還運用了《中國統計年鑒2004 》中相關數據。
  15. 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。
  16. 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。
  17. ( 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。
  18. 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。
  19. A stepwise regression analysis on the relationship between occupational stress and hypertension

    職業緊張與高血壓關系的逐步回歸分析
  20. Stepwise regression analysis of the influencing factors of mental health status in higher vocational students

    高職學生心理健康狀況影響因素的逐步回歸分析
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