A global smoothing method based on polynomial splines is used to estimate the coefficient functions in functional-coefficient linear autoregressive models.
基于多项式样条全局光滑方法，建立函数系数线性自回归模型中系数函数的样条估计。
Results Multilevel models can present the variance covariance metrics of two dependent variables in every levels, and make out the functional expresses of correlation coefficient with covariates.
结果双变量多水平模型可以估计各水平两个变量的方差协方差阵，据此可以计算出相关系数随协变量变化的函数式。
The probabilistic properties of functional coefficient auto-regression models with regularly varying tailed are discussed.
讨论了函数系数自回归模型，在误差项服从正则变化尾的情形下，模型的概率性质。
The probabilistic properties of functional coefficient auto-regression models with regularly varying tailed are discussed.
讨论了函数系数自回归模型，在误差项服从正则变化尾的情形下，模型的概率性质。
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