Comparison of Hyperbolic and Constant Width Simultaneous Confidence Bands in Multiple Linear Regression under MVCS Criterion [0.03%]
多重线性回归分析中MVCS准则下的常宽与双曲带同时置信带的比较研究
W Liu,A J Hayter,W W Piegorsch
W Liu
A simultaneous confidence band provides useful information on the plausible range of the unknown regression model, and different confidence bands can often be constructed for the same regression model. For a simple regression line, it is pr...
D Ghosh,Z Yuan
D Ghosh
Recently, penalized regression methods have attracted much attention in the statistical literature. In this article, we argue that such methods can be improved for the purposes of prediction by utilizing model averaging ideas. We propose a ...
Huilin Li,P Lahiri
Huilin Li
For the well-known Fay-Herriot small area model, standard variance component estimation methods frequently produce zero estimates of the strictly positive model variance. As a consequence, an empirical best linear unbiased predictor of a sm...
M J Daniels,M Pourahmadi
M J Daniels
We study the role of partial autocorrelations in the reparameterization and parsimonious modeling of a covariance matrix. The work is motivated by and tries to mimic the phenomenal success of the partial autocorrelations function (PACF) in ...
Xiao Ni,Hao Helen Zhang,Daowen Zhang
Xiao Ni
We propose and study a unified procedure for variable selection in partially linear models. A new type of double-penalized least squares is formulated, using the smoothing spline to estimate the nonparametric part and applying a shrinkage p...
Improved Estimation in Multiple Linear Regression Models with Measurement Error and General Constraint [0.03%]
一般约束下测量误差多重线性回归模型的估计改进
Hua Liang,Weixing Song
Hua Liang
In this paper, we define two restricted estimators for the regression parameters in a multiple linear regression model with measurement errors when prior information for the parameters is available. We then construct two sets of improved es...
Analysis of Correlated Binary Data under Partially Linear Single-Index Logistic Models [0.03%]
部分线性单指标Logit模型的关联二值数据的分析
Grace Y Yi,Wenqing He,Hua Liang
Grace Y Yi
Clustered data arise commonly in practice and it is often of interest to estimate the mean response parameters as well as the association parameters. However, most research has been directed to address the mean response parameters with the ...
Exact inference on contrasts in means of intraclass correlation models with missing responses [0.03%]
含缺失响应的变截距随机效应模型中均值差的精确统计推断
Mi-Xia Wu,Kai F Yu,Aiyi Liu
Mi-Xia Wu
Intraclass correlation models with missing data at random are considered. With a properly reduced model, a general method, which allows repeated observations with missing in non-monotone pattern, is proposed to construct exact test statisti...
Maximum Likelihood Inference for the Cox Regression Model with Applications to Missing Covariates [0.03%]
Cox比例风险模型的极大似然推断及其在缺失协变量情况下的应用研究
Ming-Hui Chen,Joseph G Ibrahim,Qi-Man Shao
Ming-Hui Chen
In this paper, we carry out an in-depth theoretical investigation for existence of maximum likelihood estimates for the Cox model (Cox, 1972, 1975) both in the full data setting as well as in the presence of missing covariate data. The main...
Jinhong You,Haibo Zhou
Jinhong You
The semilinear in-slide models (SLIMs) have been shown to be effective method for normalizing microarray data (Fan, et al. 2004). Using a backfitting method, Fan, Peng and Huang (2005) proposed a profile least squares (PLS) estimation for t...