主要研究结果如下：1。基于几种非参数估计理论，构造了非参数自回归模型条件方差函数的非参数估计表达式。
The main contributions are as follows:1. Based on several nonparametric estimation theories, several estimation expressions of conditional heteroscedastic function are constructed.
在一系列不同的极限状态函数条件下，对随机抽样法和拉丁超立方抽样法以及是否使用方差减缩技术进行了比较研究。
Comparative study on random sampling and Latin hypercube sampling with and without variance reduction techniques is carried out to a number of different limit state functions.
本文对残差具有异方差性的传递函数模型提出了一种新的模型——条件异方差传递函数模型，并对建立此类模型的条件和拟合及预测效果进行了研究。
In this paper, a new model-transmissibility function model with conditional heteroscedasticity is proposed, and its conditions as well as the fitting and forecasting effect have been studied.
本文对残差具有异方差性的传递函数模型提出了一种新的模型——条件异方差传递函数模型，并对建立此类模型的条件和拟合及预测效果进行了研究。
In this paper, a new model-transmissibility function model with conditional heteroscedasticity is proposed, and its conditions as well as the fitting and forecasting effect have been studied.
应用推荐