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   生长曲线模型 的翻译结果: 查询用时:0.057秒
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生长曲线模型     
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  growth curve model
     Let the growth curve model be Y_(n×p) = A_(n×m)B_(m×k)C_(k×p) + E_(n×p),E ~N(0,σ~2I_n(?)
     设生长曲线模型为Y_(n×p)=A_(n×m)B_(m×k)C_(k×p)+E_(n×p),E~N(0,σ~2I_n(?)
短句来源
     Consider the Growth Curve Model(where the matrices Y : p×n, X1: N×q and X2: k×p are known, the matrix B: q×k and σ2(02<σ2<∞) are unknown).
     对于生长曲线模型: Y=X_1BX_2+U E(U)=0 D()=I_Nσ~2V(其中Y为N×P阶观测矩阵,X_1及X_2分别为N×q,k×p阶已知设计阵,B为q×k阶未知参数阵,为误差矩阵U的按列拉直,σ>0未知,V为已知p阶阵。)
短句来源
     In the paper,the problem for tesing hypothesis H_0:Λ=σ~2I,μ=μ_0 is discussed in growth curve model.
     讨论了生长曲线模型中关于原假设为H0:Λ=σ2I,μ=μ0的检验问题,并以2-分布为基础的级数形式给出了似然比检验统计量在以下两类与原假设相接近的备择假设下的渐近分布.
短句来源
     The GME and Robustness of General Growth Curve Model
     一般生长曲线模型的GME及其稳健性
短句来源
     Let the growth curve model be Y_(n×p)=A_(n×m)B_(m×k)C_(k×p)+E_(n×p),E~N(0,σ~2I_nI_p).
     设生长曲线模型为Yn×p=An×mBm×kCk×p+En×p,E~N(0,σ2In Ip).
短句来源
更多       
  the growth curve model
     Let the growth curve model be Y_(n×p) = A_(n×m)B_(m×k)C_(k×p) + E_(n×p),E ~N(0,σ~2I_n(?)
     设生长曲线模型为Y_(n×p)=A_(n×m)B_(m×k)C_(k×p)+E_(n×p),E~N(0,σ~2I_n(?)
短句来源
     Consider the Growth Curve Model(where the matrices Y : p×n, X1: N×q and X2: k×p are known, the matrix B: q×k and σ2(02<σ2<∞) are unknown).
     对于生长曲线模型: Y=X_1BX_2+U E(U)=0 D()=I_Nσ~2V(其中Y为N×P阶观测矩阵,X_1及X_2分别为N×q,k×p阶已知设计阵,B为q×k阶未知参数阵,为误差矩阵U的按列拉直,σ>0未知,V为已知p阶阵。)
短句来源
     Let the growth curve model be Y_(n×p)=A_(n×m)B_(m×k)C_(k×p)+E_(n×p),E~N(0,σ~2I_nI_p).
     设生长曲线模型为Yn×p=An×mBm×kCk×p+En×p,E~N(0,σ2In Ip).
短句来源
     The Minimax Admissible Estimates of the Multivariate Regression Coefficient in the Growth Curve Model Under a Matrix Loss Function
     矩阵损失下生长曲线模型中回归系数线性函数的MINIMAX可容许估计
短句来源
     Two New Relative Efficiency of the Parameter Estimate in the Growth Curve Model
     生长曲线模型中参数估计的两种新的相对效率
短句来源
更多       
  growth curve models
     Covariates Selection and Parameter Estimation in Growth Curve Models
     生长曲线模型的协变量选择与参数估计
短句来源
     UNIFORMLY MINIMUM VARIANCE NONNEGATIVE QUADRATIC UNBIASED ESTIMATION OF COVARIANCE MATRIX IN GROWTH CURVE MODELS
     生长曲线模型中协差阵的一致最小方差非负二次无偏估计
短句来源
     For two growth curve models g1 = G (X1BZ1, V1, In1 ) and g2 = G(X2BZ2, V2,In2 ), where V1 and V2 are known symmetric nonnegative definite matrices, we mfore a com-parison between them in estimable subspace D and obtain several necessary and sufficientconditions of g1 g2(D).
     对于两个生长曲线模型g1=G(X1BZ1,V1,In1)和g2=G(X2BZ2,V2,In2),其中V1和V2是已知的对称非负定矩阵,本文在可估子空间D上对它们进行了比较,得到了g1 g2(D)的几个充要条件。
短句来源
     This paper studies the Potthoff-Roy transformation in growth curve models and obtains the best Potthoff-Roy transformation under the criterion of minimum matrix norm. The paper proposes further an approach to improve the Potthoff-Roy transformation by using the covariates. The selection of covariates and its influence on the estimation of parameters in also studied.
     本文研究了生长曲线模型的Potthoff-Roy变换,给出了这种变换在矩阵范数最小规则下的最佳选择.进一步本文给出了利用协变量来改进Potthoff-Roy变换的途径并研究了协变量的选择及对参数估计的影响.
短句来源
     In this paper, the growth data of body length and weight of cattle in the southern areas and mountainous districts of Fujian were fitted in with the eight growth curve models which were built and discussed in another paper.
     利用已建立和论述的8个具有饱和增长趋势的曲线模型来拟合福建黄牛生长发育过程,求得了福建闽南黄牛和山区黄牛体型、体重的生长曲线模型.
短句来源
  growth cure model
     THE PROBLEMS ON TESTING EQUALITY OF SCALE PARAMETERS IN GROWTH CURE MODEL
     生长曲线模型中尺度参数相等的检验问题
短句来源
     TESTING PARAMETERS UNDER A GROWTH CURE MODEL IN COMPLEX CASE
     复生长曲线模型中参数的检验问题
短句来源
     The problems on testing position and scale parameters together of a growth cure model in complte case are considered in this paper. let the null hypothes be H Σ=I and ξ=0, asympstotic non - null distributions of the modified likelihood ratio statistic under two alternatives which dose to the null hypothesis are given respectively.
     本文讨论了复情形下生长曲线模型中尺度参数与位置参数同时检验的问题.设原假设为H:Σ=I且ξ=0,文中给出了修改似然比统计量在两类与原假设相接近的备样假设下的渐近非零分布.
短句来源

 

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  growth curve model
Admissibility of linear estimate of regression coefficients in growth curve model under matrix loss
      
Optimum estimation in a growth curve model with a priori unknown variance components in geodetic networks
      
On asymptotic properties of the maximum likelihood estimates of the general growth curve model
      
Score and Wald tests for the multivariate growth curve model with missing data
      
A-Theory Methods, 14, 775-792) likelihood ratio tests for the multivariate growth curve model with missing data, and illustrate their use with data from an immunotherapy experiment (Fukushima et al.
      
更多          
  the growth curve model
The growth curve model with an autoregressive covariance structure
      
The growth curve model with an autoregressive covariance structure is considered.
      
We consider the growth curve model with covariance structures: positive-definite, uniform covariance structure and serial covariance structure.
      
Residuals for the Growth Curve model will be discussed.
      
Bayesian Influence Assessment in the Growth Curve Model with Unstructured Covariance
      
更多          
  growth curve models
Die vorliegende Arbeit unternimmt den Versuch, die "Speed"-Hypothese unter Verwendung von "Latent Growth Curve Models" auf ihre individuelle Gültigkeit für die Entwicklung der fluiden Intelligenz hin zu überprüfen.
      
Linear and quadratic growth curve models with intraclass covariance structure and related optimal designs
      
It is shown that for exponential growth curve models with one parameter, maximin efficient designs can not be one point designs.
      
A similar result is obtained for growth curve models with two parameters.
      
Asymptotically optimal tests for some growth curve models under non-normal error structure
      
更多          
  其他


This paper gives the necessary and sufficient(n.s.) condition for the existence of Gauss-Markov Estimator(GME) of Eyy′ in the following Growth Curues Model Ey=X_1BX′_2, covy=Σ(?)V, and gives the n.s.condition for existence of GME of Ey.Where Y_(n×p)=(y_1, …,y_p)·y=(y′_1,…,y′_p)′is a quasinormally distributed random vector.

本文给出了生长曲线模型(?)中Eyy′的GME(Gauss-Markov估计)存在的克要条件,也给出了Ey的GME存在的充要条件。作为推论,给出了[2]中的定理3及定理4,其中(?)=(y_1,…,y_p),y=(y′_1,…,y′_p)′。y依准正态分布。

For the growth curve model, a method of calculating non-negative estimator of the parametric matrix is given in this paper,

本文对生长曲线模型,(广义方差线性模型)中参数阵B,给出了求解其非负估计的一种方法。

The problems on testing scale parameter is Growth. Curve Model are considered in this paper. The asymptotic non-null dis-tributions of tie modified likelihood ratio statistic under three alterna-tives are given respectively.

讨论了生长曲线模型中尺度参数的假设检验问题,并分别给出修改似然比统计量在三个备样假设下的渐近非零分布。

 
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