1) partial linear model
部分线性模型
1.
Asymptotic properties of estimators in a partial linear model with random censoring;
随机截断下部分线性模型中参数估计的渐近性质
2.
Empirical likelihood inference for nonparametric function of partial linear models under martingale difference sequenece
鞅差序列下部分线性模型中非参数分量的经验似然的置信区间
3.
In this paper,empirical Euclidean likelihood ratio statistics are constructed for parametric components in a partial linear model under random design,and with its limit distribution asymptotic confidence region of partial linear model parameter is also constructed.
在随机设计下本文构造了部分线性模型的经验欧氏似然比统计量,并由它的极限分布构造了部分线形模型参数的渐进置信域。
2) partly linear model
部分线性模型
1.
The strong consistence of least square estimator for partly linear model;
部分线性模型最小二乘估计的强相合性
2.
Consider the partly linear model Y=X~′β_0+g(T)+e,where β_0 is a k×1 vector of unknown parameters,(g(·)) is an unknown smooth function and e is an unobserved disturbance.
给定部分线性模型Y=X′β0+g(t)+e,其中β0是一k×1未知参数向量,g(。
3.
This paper uses a partly linear model to estimate the correlation between income and expenditure.
本文利用部分线性模型,估计了收入与消费的相关性。
3) partially linear model
部分线性模型
1.
This article deals with the partially linear model y= Xrβ+ g(t) +ε, where ε-N(0,σ2), the predictor X is observable and the predictor t is measured with additive error.
考察部分线性模型y=Xβr+g(t)+ε,ε-N(O,σ2),其中回归变量X可以精确测量,而t具有测量误差。
2.
Engle,Granger,Rice and Weiss(1986) were among the first to consider the partially linear model,when they analyzed the relationship between temperature and electricity usage .
部分线性模型是由Engle,Granger,Rice和Weiss(1986)在研究居民用电与其收入及季节等变量之间的关系这一实际问题时提出的。
3.
The statistical inference for the partially linear models with missing data which has extensive application background becomes a focus for study.
缺失数据问题在实际应用中越来越引起人们的普遍关注,在实际中有广泛应用背景的部分线性模型在缺失数据情形的统计推断也成了研究的焦点。
4) Partially linear models
部分线性模型
1.
Estimation and asymptotic normality for partially linear models with censored data;
删失数据下部分线性模型的估计及渐近正态性
2.
Consistency of wavelet estimators in partially linear models for fixed design
固定设计下部分线性模型中小波估计的相合性
3.
We propose a new approach-profile local least squares method which using parametric information to estimate partially linear models.
针对部分线性模型提出了一种新的估计方法-Profile局部最小二乘估计,方法结合了非参数部分的参数信息。
5) partly linear EV model
部分线性EV模型
1.
The estimation of partly linear EV models Y = x β+ g(t)+ e is investigated in this paper,where is positively associated,and ex is measured error,with β and g(t) unknown.
考虑部分线性EV模型Y=xβ+g(t)+e,e是PA相依,其中x的观测值有误差时β和g(t)的估计情况。
补充资料：多元线性回归模型
分子式：
CAS号：
性质：假定从理论上或经验上已经知道输出变量y是输入变x1，x2，…,xm的线性函数，但表达其线性关系的系数是未知的，要根据输入输出的n次观察结果(c11，x21，…，xml，yi)(i=1,n)来确定系数的值。按最小二乘法原理来求出系数值，所得到的模型为多元线性回归模型。
CAS号：
性质：假定从理论上或经验上已经知道输出变量y是输入变x1，x2，…,xm的线性函数，但表达其线性关系的系数是未知的，要根据输入输出的n次观察结果(c11，x21，…，xml，yi)(i=1,n)来确定系数的值。按最小二乘法原理来求出系数值，所得到的模型为多元线性回归模型。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条