Linear Vector Semiparametric Model 线性向量半参数模型
Cumulative estimation in semiparametric model 半参数模型的累积估计
semiparametric regression model 半参数回归模型
Semiparametric TBS model 半参数TBS模型
semiparametric GARCH model 半参数GARCH模型
the semiparametric ACD model 半参数ACD模型
nonlinear semiparametric EV model 非线性半参数EV模型
Nonlinear semiparametric regression model 非线性半参数回归模型
So, the purpose of this paper concentrates on the semiparametric model's large sample property and application research. Parametric and nonparametric models have been studied deeply and a set of basic theory has been set up.
因而本论文主要研究在固定设计情况下,半参数模型中参数分量和非参数分量的估计量的构造、估计结果的大样本性质及其应用。
参考来源 - 半参数模型的估计理论及其应用The ridge+EL can solve the estimated matrix non-inverse problem, is a effective method to kernel smooth semiparametric model.
而结合岭方法的经验似然方法可以能够解决估计矩阵不可逆的问题,并能作为核平滑半参数模型有效估计的方法。
参考来源 - 经验似然方法及基因表达调控网络应用·2,447,543篇论文数据，部分数据来源于NoteExpress
以上来源于: WordNet
When errors is a ar (1) time series, we studied the quasi-likelihood equation for the semiparametric model, and investigated the existence of quasi-maximum likelihood estimators.
在误差为AR(1)时间序列的情形下，给出了半参数回归模型的拟极大似然估计方程，并研究了拟极大似然估计量的存在性。
We develop imputation estimators of mean of responses for semiparametric varying-coefficient model with response variables missing at random.
在响应变量随机缺失时，研究了半参数变系数模型响应变量均值的借补估计。
Objective To relax linear assumption of explanatory variable in classical linear model and explore semiparametric regression model.
目的放宽经典线性模型中的解释变量的线性假定和探讨半参数回归分析模型。
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