血脂和血压的变化模式通过比较运用随机系数线性混合效应模型得到的追踪观察期的梯度来评估。
Patterns of changes in lipids and BP were evaluated by comparing slopes over follow-up time using random coefficient linear mixed-effect models.
将线性混合模型中随机效应的协方差阵推广为正定阵，运用方差分析估计的方法给出了方差分量的估计。
In this paper, the covariance matrix of random effect in linear mixed model is extended to positive matrix. We construct the estimation of variance components based on the idea of ANOVA estimation.
应用非线性谱分析法对随机波浪载荷的自由表面效应进行了研究，提出了一种新的计算模型。
The free surface effects of random wave forces are studied by means of nonlinear spectral analysis and a new calculating model is proposed.
该文研究了非线性随机效应模型，为非线性张度大的模型提供了理论和方法。
We discussed the nonlinear models with random effects, presented the theory and methods for the models with large nonlinearity.
本文研究了一般的随机效应多元线性模型中线性可估函数的最优线性无偏估计。
In this paper we investigated optimal linear unbiased estimation of the linear estimable function in general multivariate random effect linear model.
方差分量模型的随机效应的协方差为单位阵时《线性模型引论》已进行研究。
Variance component model of the random effects of covariance matrix unit for the "Linear model introduction" matrix has been studied.
对指数族非线性随机效应模型，本文首次利用Q函数进行统计诊断。主要创新性研究成果如下。
Q function have been used to study the statistical diagnostics for the exponential family nonlinear models with random effects.
同时考虑样地的随机效应、观测数据的时间序列相关性及不同初植密度的混合模型模拟精度比传统的非线性回归方法模拟精度高。
The precision of mixed model considering plot random effects, time series error autocorrelation and different plantation density at one time is better than that of ordinary regression analysis method.
该文研究了非线性随机效应模型，为非线性张度大的模型提供了理论和方法。
The least square estimate of covariance matrices in the growth curve model with random effects;
首先刻画了非线性随机效应模型的异方差类型，进而研究了非线性随机效应模型的异方差检验；
We first develop the tests for varying dispersion in two special generalized nonlinear models of longitudinal data: (1) logistic nonlinear models in binomial data;
首先刻画了非线性随机效应模型的异方差类型，进而研究了非线性随机效应模型的异方差检验；
We first develop the tests for varying dispersion in two special generalized nonlinear models of longitudinal data: (1) logistic nonlinear models in binomial data;
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