多變量協(xié)方差分析 multiple covariance analysis; multivariate analysis of covariance
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Variance components method 方差分析法
Methods repetitive measure analysis of variance ( anova ) was used in analyzing qol at different time points 方法用重復測量方差分析法研究抑郁癥患者在不同時點的生命質(zhì)量變化。
This paper use experimental data to set up linear regression equation with unitary and regression straight line , to use variance analysis and related coefficient to test validity of equation 摘要本文利用實驗數(shù)據(jù)建立一元線性回歸方程;回歸直線,并用方差分析法和相關(guān)系數(shù)法檢驗方程的有效性。
Here the methods of covariance analysis and vibration analysis are employed to obtain the background and resonant component of wind - induced response . and the methods of load - response - correlation and inertial force are used to obtain the background and resonant component of eswl 對于風致響應(yīng)的背景分量和共振分量,分別采用方差分析法和振動分析方法來求解;對于等效風荷載的背景分量和共振分量,分別采用lrc法和慣性力法來求解。
Some of classical analytical methods about security market , including stock market have mean - variance analytics , apt theory , capm model , b - s options pricing model , etc . at the same time , some new modern methods emerged and joined this process with the appearance of newly rising subjects and the continuous penetration of crossed subjects , such as artificial nerves network , data envelopment analysis , etc . all of these have brought fresh view angles and great impact to security market analysis 對證券市場包括股票市場中的一些經(jīng)典方法有:均值-方差分析法、 apt理論、 capm模型、 b - s期權(quán)定價模型等。與此同時,隨著新興學科的出現(xiàn)以及學科交叉的不斷深入,近年來涌現(xiàn)出一些新的現(xiàn)代分析方法,如人工神經(jīng)網(wǎng)絡(luò)、數(shù)據(jù)包絡(luò)分析法等,它們給證券市場的分析帶來了新的視角和巨大的沖擊。
In this paper , we first analyze each factor of influencing threshing performance , and deficiency of all traditional methods such as single factor , orthogonal experiment , variance analysis and regression analysis , which have been used to study the threshing performance . in the basis of above analysis , we propose a new method of threshing performance modeling - a bp neural network . by use the new ways of threshing performance modeling - a bp neural network , we can obtain the optimum model of threshing performance , which can better describe the seed - husking plant ' s feature of complex nonlinear , multi - input - output and indefinite 本文首先分析了影響脫粒裝置性能的各個因素以及傳統(tǒng)研究脫粒性能的各種方法如單因素法、正交試驗法、方差分析法以及回歸分析法的缺陷,在此基礎(chǔ)上提出了采用bp神經(jīng)網(wǎng)絡(luò)對脫粒裝置性能模型進行優(yōu)化,采用這種方法優(yōu)化脫粒裝置性能模型可以更好地刻劃脫粒裝置所具有的多輸入多輸出、復雜非線性以及不確定性等特征。
As to the work about experiment study , at first , the paper makes certain the prominent affecting factors to the automating and humidifying property of this kind of nozzle by orthogonal experiment . by jicha analysis method and fangcha analysis method , the paper got that the nozzle aperture , the initial water temperature and the spraying pressure have prominent effect to the humidifying property while the effect of the original air state is small 試驗工作方面,首先通過正交試驗確定對撞針型高壓小孔徑離心式噴嘴霧化加濕性能影響顯著的因素,運用極差分析法和方差分析法,得到噴嘴孔徑、噴水初溫和噴水壓力對噴嘴的加濕性能影響顯著,而待加濕空氣初狀態(tài)的影響相對較小。
Abstract : based on the problems in assessments of quality of life and the theory of analysis of variance for split - plot design , a method for analyzing longitudinal quality of life data both univariate and multivariate was introduced with discussions on the application problems . it is also used to analyze the longitudinal quality of life in drug addicts across two groups 文摘:萬崇華等.縱向資料裂區(qū)設(shè)計方差分析法及其在吸毒者生命質(zhì)量評價中的應(yīng)用.數(shù)理統(tǒng)計與管理. 1999 , 18 ( 1 ) , 1 - 4本文針對生命質(zhì)量測評中存在的實際問題,分單變量和多變量兩種情況介紹用裂區(qū)設(shè)計方差分析思想處理縱向生命質(zhì)量資料的方法,對應(yīng)用中的有關(guān)問題進行討論,并用于吸毒者縱向生命質(zhì)量的分析。
According to the comparison result , the variance analysis will not be applicable when the allowance range has to be set flexibly according to specific operation requirements although it can achieve a high rate of fault detection . for example , when the allowance range of some particular component gets bigger , the variance analysis could not precisely define the new judgment boundary 比較后發(fā)現(xiàn),方差特征分析法雖然可以達到很高的故障檢測率,但不適用于元件容差需根據(jù)具體要求靈活設(shè)定的情況,例如當具體情況中某個元件的容差范圍變大時,用方差分析法卻不能準確地定出新的判斷界限。