linear regression analysis 中文意思是什麼

linear regression analysis 解釋
線性回歸分析
  • linear : adj. 1. 線的,直線的。2. 長度的。3. 【數學】一次的,線性的。4. 【動、植】線狀的;細長的。5. 由線條組成的,以線條為主的,強調線條的。
  • regression : n. 1. 復歸,回歸。2. 退步,退化。3. 【天文學】退行。adj. -sive ,-sively adv.
  • analysis : n. (pl. -ses )1. 分解,分析;【數學】解析。2. 梗概,要略。3. 〈美國〉用精神分析法治療(= psychoanalysis)。
  1. Multivariate linear regression analysis of the element bonding parameter of the lanthanides and properties

    鑭系元素鍵參數與物性的多元回歸分析
  2. The application of multivariate linear regression analysis in the production of magnesite - carbon bricks

    多元線性回歸分析在鎂碳磚生產中的應用
  3. The forecast waterborne cargo volume in jiangsu is done in the sixth section, many mathematic models, such as grey model gm ( 1, 1 ) and linear regression analysis, have been used here and qualitative analyses such as delphi techniques are also used

    第五部分為江蘇省內河航運預測目的、作用及步驟,介紹了預測在實踐領域中的運用,江蘇省內河貨運預測的目的、作用、內容和方法、遵循的原則和原理以及實施的步驟等。
  4. On the basis of a lot of experimental data based on the orthogonal test of pulse peak electric current, pulse width and pulse intermission, experimental mathematical models of electric spark forming of several sorts of materials are built up with multiple linear regression analysis

    摘要用正交試驗法對電火花加工中的峰值電流、脈沖寬度、脈沖間隔進行設計,在大量實驗數據的基礎上,採用最小二乘法建立實用的多種材料的電火花加工實驗數學模型。
  5. On the other hand, the method of multivariate linear regression analysis is used to deduce the relevant matrix between element analysis and of industry analysis coal. then a new calculation model of boiler efficiency by use of industry analysis data is established

    同時採用多元線性回歸方法,建立了煤的元素分析成分與工業分析結果的關聯矩陣方程,從而獲得以工業分析為基礎的鍋爐效率計算的新模型。
  6. Study of multivariate linear regression analysis model for groundwater quality prediction

    地下水水質預測的多元線性回歸分析模型研究
  7. The subsystem of the casting foresee and analysis established the mathematical model of the quantitative linear regression analysis for the compacted graphite cast iron defects. it provided guarantee for predication and control of casting defective index within permissive ranges

    鑄件質量分析及預測子系統建立了蠕墨鑄鐵件缺陷定量分析的線性回歸分析數學模型,為預測及控制缺陷廢品率在規定范圍內提供保證。
  8. Firstly, a coarse forecasting model based on only the primary influencing factor ( that is the weight of iron in matte ) is built using linear regression analysis, then, an error compensating model based on other influencing factors is built to improve the result of forecast

    首先應用線性回歸技術建立了僅考慮主要影響因素(銅統含鐵量)的粗略預報模型,而後,應用神經網路技術建立了考慮到多個次要影響因素的誤差補償模型,從而改進預報效果。
  9. 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。
  10. 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。
  11. Credit assessment is a very important but rather complicated process for commercial banks. from the past decades to nowadays, different schemes using simple financial ratios and many other statistical methods, such as logistical regression analysis, linear regression analysis, decision trees and so on, are used popularly by commercial banks all of the world

    在國內,銀行對客戶的信用等級評定,還處在對企業的某些財務指標進行評價,而後加權平均確定的階段上,因此迫切需要引入更為科學的方法來確定有效指標,並建立準確的定量模型來解決信用評估問題。
  12. The one - way anova analysis and correlation analysis show that the factors such as country or town, family structure, family economic level, mother ' s education, mother ' s occupation, father ' s warmth and empathic relationship, mother ' s warmth and empathic relationship, mother ' s over - protection and over - interference and family communication have notable correlations with the self - efficacy of middle school students. multiple linear regression analysis shows that some external factors including mother ' s occupation, family structure and family economic level, some internal factors such as mother ' s warmth and empathic relationship, mother ' s severe punishment and family communication have notable influence on middle school students " self - efficacy. and family economic level may also influence self - efficacy by influencing mother ' s parenting style and family communication

    單因素方差分析和相關分析表明,來自農村城市,家庭結構,家庭經濟狀況,母親文化程度,母親職業,父親溫暖理解、母親溫暖理解、母親過干涉過保護,家庭溝通等都與中學生自我效能感有顯著聯系;多因素逐步回歸分析表明,母親職業、家庭結構、家庭經濟狀況等外環境因素以及母親溫暖理解、母親懲罰嚴厲,家庭溝通等家庭內環境因素對中學生自我效能感有顯著的預測作用;其中家庭經濟狀況還可以通過對母親教養方式和家庭溝通的影響間接影響中學生自我效能感。
  13. According to present situation of brand equity, for the first time, five important brand equity factors were extracted from brand features by applications of principal component analysis and factor analysis methods, they were brand status, customer - recognized value, brand image, brand creative abilities and brand executive abilities ; on the same time, five types of brand equity were divided with k - means cluster methods on the base of five brand factors, they were leading brand, matured or ripe brand, concrete brand, customer - based brand and creative brand. in order to extract brand equity strategy, correlation and linear regression analysis methods were used, as a result of analysis, four strategies were put forwarded including brand marketing strategy, marketing dividing strategy, marketing stretching strategy and marketing entrance time, applying nonparametric tests and duncan tests, five brand equities were also differed in many aspects

    在品牌資產各組成要素中,應用主成分分析和因子分析方法,提取了五個品牌資產最重要的構成因子,首次提出品牌資產最重要的因子是品牌地位和顧客認知價值,其次為品牌形象、品牌創新能力和市場執行能力;根據品牌資產的構成因子,運用聚類分析法,對調查企業的品牌資產類型進行了分類,按照品牌構成屬性將企業分為領導型、成熟型、務實型、顧客導向型和創新型品牌企業;在對企業品牌策略分析基礎上,運用相關分析和線形回歸方法,求導形成品牌的重要策略因子,提出建立品牌資產最重要的策略因子是推廣策略,其次為市場分化策略、市場延伸策略和進入市場時機。
  14. And forecast ability was compared between the models built by selecting factors as well as orthonormalization and the other models built by stepwise regression analysis directly. the comparative result was forecast ability of model by monadic linear regression analysis and nature orthonormalization function as well as stepwise regression was stronger than the models by direct stepwise regression analysis

    比較得出:通過一元一次線性回歸進行因子篩選,並對其進行正交化分析,再進行逐步回歸建立的預報模型比直接利用逐步回歸分析建立的模型的預報功能強的多。
  15. This paper uses some of the contents of econometrics, including computations and proving of related coefficients and monadic linear regression analysis methods to analysis the degree of association between the various circumstances for the prosperity in each industry in china and the performance of related industries in the stock market as well as the industry indexes. through conducting this type of analysis, the paper, hopes to provide the investors in china with some definite assistance in their allocations to the various industries during the course of stock investments

    本文利用計量經濟學中的一些內容,包括相關系數的計算及檢驗、一元線性回歸分析方法來分析近年來我國各行業的景氣情況與相關行業在證券市場的表現即行業指數的運行之間的關聯度,並旨在通過這一分析為我國的投資者在證券投資的過程中所進行的行業配置工作提供一定的幫助。
  16. Chart three, we make use of the spss software to analyze the listed companies of the the second board market on the model multi linear regression analysis. so with regard to the final model, we analyze the influence factors and explain why and how the factors in the model take more important parts than others

    第三部分,運用spss軟體對深圳證券交易所中小企業板塊的上市公司進行多元回歸統計分析,剖析我國上市中小公司經營績效的影響因素,並結合實際作了合理解釋。
  17. Application of multiple linear regression analysis in prediction of development trends for industry of industrial washing machine

    多元線性回歸分析在工業洗滌機械行業發展趨勢預測中的應用
  18. Space constraints keep me from going into detail about all the functions in this class, so i encourage you to consult an undergraduate statistics textbook if you want to understand the termininology and steps involved in a simple linear regression analysis

    由於篇幅有限,我不可能逐個詳細說明這個類中的所有函數,因此如果您想搞清楚簡單線性回歸分析中所涉及的術語和步驟,我鼓勵您參考大學本科學生使用的統計學教科書。
  19. General linear regression analysis on the influential factors of infant behavior development

    嬰兒行為發育影響因素線性回歸分析
  20. In the multi - variables linear regression analysis, the 28d cube compressive strength is looked as function and the four factors of experiment is viewed as independent variables. the linear equation between compressive strength and four factors is concluded. the optimum regression equation is deduced by stepwise method

    多元線性回歸分析中,以28d抗壓強度為函數,正交試驗中的四因素作為自變量,得出了抗壓強度與各因素之間的線性表達式,再經過逐步回歸法確定了最優回歸方程。
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