factor variance 中文意思是什麼
factor variance
解釋
因素方差-
Systolic and diastolic blood pressures clustered together with leptin in the factor analysis and this blood pressure - adiposity component correlated with estimated creatinine clearance ( r = 0. 329, p < 0. 0001 ) and explained on its own 10. 2 % of the variance in the estimated renal function
在析因分析中發現收縮壓和舒張壓與瘦素相關聯，這種血壓?肥胖組合與估算的肌酐清除率具有相關性（相關系數0 . 329 ， p < 0 . 0001 ） ，其本身可以造成10 . 2 %的腎功能變化。 -
Common factor variance
公因子方差 -
The pca results indicated that the characteristics of length, breadth, the angle of leaf basal in lamina and the characteristics of calyx - tube, corolla dimension and inflorescence pedicel in the flower were the main reasons leading to the morphological variations, and the f - test of single factor variance analysis verified the conclusion
主成分分析顯示，葉部特徵的長度、寬度、葉基夾角等，以及花部特徵的花獸筒、花冠幅、花序總梗等是造成不同居群野生早櫻表型差異的主要因素，單因素方差分析也印證了這一結論。 -
Specially, based on risk - metric and factor variables, the author discusses multi - factor asset pricing model. in theoretical analysis, the author attempts to release the assumption of index ' s random walk, proves a portfolio selection model suitable for the linear index level moreover, based on assets un - exchangeable, the author brings forward asset pricing models for b - shares, h - shares and non - circulated - shares. the author also brings forward multi - factor asset pricing model based on risk - metric indices, such as coefficient of beta, standard variance, standard semi - variance, average absolute deviation, value at risk, and factor variables, such as circulated market equity, exchange ratio, short - term historical return
在理論分析時，作者嘗試放鬆指數水平滿足隨機遊走過程的假設，推導出指數水平呈線性趨勢的資產組合選擇模型；此外，作者基於資產不可交易這一假設，提出了b股、 h股和非流通股等情形的資產定價模型，並基於系數、標準差、標準半方差、平均絕對離差和風險價值等風險度量指標以及流通市值、換手率、短期歷史收益率等因素變量提出了四因素資產定價模型。 -
On the one hand, the author discusses markowitz ' s mean - variance portfolio selection model, single - index portfolio selection model, and simplified model of optimal portfolio selection. at the same time, based on the rules of optimal portfolio selection and other risk - metric indices, the author also discusses mean - absolute deviation model, mean - semivariance model and mean - value at risk model. on the other hand, the author discusses the asset pricing model, including the capital asset pricing model ( capm ), the multi - factor asset pricing model, and the arbitrage pricing model ( apt )
一方面，作者討論了馬科維茲的均值-方差資產組合選擇模型、單指數資產組合選擇模型、最優資產組合選擇的簡化模型，同時根據最優資產組合選擇原則和其他風險度量指標，討論了均值-絕對離差、均值-半方差和均值-風險價值資產組合選擇模型；另一方面，作者討論了資產定價模型，包括多因素資產定價模型和套利定價模型，特別是在四種因素變量的基礎上，探討多因素資產定價模型。 -
The paper reviewed the history of risk & return measurements, analyzed their limitations, and advanced a more perfect measure : semi variance with capital factor
文中回顧了20世紀50年代以來投資風險與收益的計量歷史，在分析了各種計量方法的缺陷之後，作者提出了更為理想的風險與收益計量方法? ?加入資本因素的半方差法。 -
The results show that : ( 1 ) the greatest stress among family caregivers was related to the characteristics of the disease. ( 2 ) most family caregivers tended to adopt problem - oriented coping behavaiors. ( 3 ) regarding health status, it was recognized that social health, compared to others, was less affected by the cases. ( 4 ) in the study of the relationship between stress aspects and health status, it was found that among the four stress aspects, individual stress and environmental stress correlate with these family members ' physical, psychological and social health. ( 5 ) in the study of the relationship between coping behavior and health status, emotional - oriented coping behavior was recognized as the factor that affected these family caregivers ' physical and psychological health. ( 6 ) 56. 38 % of the variance of the health status of family caregivers can be explained by their stress aspects and coping behaviors
研究結果發現： （ 1 ）肝癌患者家屬主要照顧者最大壓力為病患疾病特性方面的壓力； （ 2 ）採用問題中心因應行為方式處理壓力為多； （ 3 ）自覺健康狀況方面，以社會健康為最佳； （ 4 ）壓力與健康狀況間的關系：四大體上壓力層面中以個人方面的壓力及環境方面的壓力透過典型變項主要影響身體方面、心理方面以及社會方面的健康狀況； （ 5 ）因應行為與健康狀況間的關系：情緒中心因應行為透過典型變主要影響身體方面、心理方面的健康； （ 6 ）壓力與因應行為對健康狀況的預測，可解釋其總變異量的56 . 38 % 。 -
When compared with single factor analysis of variance, covariance analysis reduced efficacy evaluation error resulting from uneven weed distribution in the field
結果表明，與按單因素試驗方差分析相比，協方差分析方法可以減小因雜草田間分佈不均勻而導致的調查誤差。 -
The results of variance analysis about the related characters of defy, gannong no. 3 and length ear showed that each character of long ear including ear length, flowers, number of pod and seeds was significantly different from the same character of gannong no. 3 and defy, and the ear length was the main factor influencing the production of alfalfa
對長穗苜蓿和德福、甘農三號穗長、小花數、莢果數和種子數方差分析表明：長穗苜蓿的穗長、小花數、莢果數和種子數分別和德福、甘農三號的穗長、小花數、莢果數和種子數差異達到極顯著水平，穗長是苜蓿種子高產的主要影響因子。 -
The error is related to the two rank partial derivative of the flux function to each factor and the mean variance distribution of each factor on each grid point. the statistical - dynamical parameterization scheme involves the both conditions, therefore, it is more practical for the east china moist region than the mosaic method
另而自乞計一動刀寧腸則院含考慮了要紊的二階偏導數及其在網格元上的分佈的均方差，因而該方案比馬賽克法考慮更為周全（至少在東部涅潤區如此） 。 -
Two indexes was calculated to estimate the best bands union for color combination, one is optimum index factor ( oif, the sum of standard deviation divided by the sum of correlation coefficient. ), the other is the determinant of the co - variance matrix. it can be seen from the result that for color combination the original optimal bands were tm 4, 3, 7 and tm 4, 3, 5, the best mixed images were mnf1, br and ndvi
以協方差矩陣行列式值和最佳指數值（組合波段標準差之和除以相關系數之和）為評價標準，得出對于tm原始波段而言，最佳的彩色合成組合是tm4 、 3 、 7和tm4 、 3 、 5 ；綜合幾種變換圖像的彩色合成的最佳組合是mnf1 、 br 、 ndvi 。 -
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，在此基礎上提出了採用bp神經網路對脫粒裝置性能模型進行優化，採用這種方法優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徵。 -
In this paper, optic gyro is viewed as the object of investigation and several aspects is investigated as follows. two important indexes - bias instability and scale factor were measured and investigated, including bias, its repetitiveness, temperature sensitivity, random walk coefficient and scale factor, its nonlinearity, asymmetry, repetitiveness. we make use of the allan variance method to separate the noise factors which affect the performance of the optic gyro, such as the angle random walk, bias instability, rate random walk, rate ramp, quantization noise, markov noise and sinusoidal noise
本文以光學陀螺為研究對象，開展了以下幾方面的研究工作：本文對光學陀螺性能的兩個重要指標?標度因數和零偏穩定性進行了較為詳細的研究，其中包括陀螺的零偏b _ 0 、零偏重復性b _ r 、零偏溫度靈敏度b _ t 、隨機遊走系數rwc和標度因數k 、標度因數的非線性k _ n 、標度因數不對稱性k _ h 、標度因數重復性k _ r等等。 -
This paper is trying to answer it. first of all, this paper analyses the system that promotes unfair related transaction and variance of regulatory regime, and explores relations of related transaction and earning management of loss companies. second, it uses the method that is different from literature in mainland china, adds the related transaction factor to consider the earning management of loss companies, and draws the conclusions through empirical method
其次，本文採用不同於國內文獻的研究方法，引入關聯交易因素考慮虧損公司盈餘管理，通過經驗研究方法分別對關聯交易程度等級與資產收益率關系、虧損時間、關聯交易程度與盈餘管理三者關系、影響關聯交易因素及審計意見與盈利質量關系等關聯交易盈餘管理方面進行實證研究，並得出以下主要結論： 1 -
The study chooses foodstuff industry, textile industry, drug products industry, transportation industry, information technology industry and estate industry ( there are totally 283 listed companies in these six kind of industries ), based on the financing data of the year of 2001. firstly, utilizing the one - way analysis of variance method to analyze if trade factor influence capital structure
本課題選取食品飲料業、紡織服裝業、醫藥生物製品業、交通運輸業、信息技術業和房地產業六類共283家上市公司，以其2001年年報數據為依據，首先利用單因素方差分析方法檢驗不同行業的上市公司資本結構是否存在顯著差異。 -
Secondly, this thesis evaluates some main theories and method about market risk measurement. such as mean - variance criterion of markowitz and risk decentralization principal, single - factor model, multifactor model, down - risk model, black - scholes model and var model based on the calculation of loss. it also discusses the suitable conditions and defects of every theory and method, and think that var is a more perfect method for risk measurement by comparison
其次，評價了有關市場風險度量的一些主要理論和方法，如markowitz的均值?方差準則和風險分散原則、 capm模型和風險的市場因素模型、單因素模型、多因素模型、 downside - risk 、期權定價理論和現代基於損失計量風險的var等風險度量理論，並討論了各種風險度量方法的具體適用條件及相應的缺陷。 -
Chapter 2 : using a so - called variance matrix, we studied the propagation and the focusing characteristics of the paraxial light beams. the quantities characterizing the gross features for a paraxial optical beam, such as the beam width, the divergence, the curvature radius of the wavefront, the complex beam parameter q. and the beam quality factor, are related by using variance matrix
第二章：闡述了常數折射率介質中光束的傳輸和聚焦，建立了表徵傍軸光束總的特徵的量，如：束寬、衍射發散角、波前曲率半徑、復光束參數q與變換矩陣的關系，得到了光束質量因子和變換矩陣行列式的定量關系。 -
Bayesian estimation of variance factor in the nonlinear model
非線形模型方差的貝葉斯估計 -
In data analysis, some traditional statistical methods, such as exploring factor analysis, one - way analysis of variance, correlation analysis, were used
在數據處理上，採用了探索性因素分析、單因素方差分析和相關分析等方法。 -
Specific factor variance
特殊因子方差
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