A General Class of Signed Rank Tests for Clustered Data when the Cluster Size is Potentially Informative [0.03%]
一类有潜在影响的聚类大小的集群数据的符号秩检验
Somnath Datta,Jaakko Nevalainen,Hannu Oja
Somnath Datta
Rank based tests are alternatives to likelihood based tests popularized by their relative robustness and underlying elegant mathematical theory. There has been a serge in research activities in this area in recent years since a number of re...
Semiparametric Estimation with Recurrent Event Data under Informative Monitoring [0.03%]
具有信息监测的复发事件数据的半参数估计方法研究
Akim Adekpedjou,Edsel A Peña
Akim Adekpedjou
Consider a study where the times of occurrences of a recurrent event for n units are monitored. For the ith unit, T(i1), T(i2), …, denote the successive event interoccurrence times and this unit is monitored over a random period [0, τ(i)]...
Arnab Maity
Arnab Maity
In this article, we address the important problem of comparison of two or more population regression functions. Recently, Pardo-Fernández, Van Keilegom and González-Manteiga (2007) developed test statistics for simple nonparametric regres...
Local Modal Regression [0.03%]
局部模态回归
Weixin Yao,Bruce G Lindsay,Runze Li
Weixin Yao
A local modal estimation procedure is proposed for the regression function in a non-parametric regression model. A distinguishing characteristic of the proposed procedure is that it introduces an additional tuning parameter that is automati...
The effects of error magnitude and bandwidth selection for deconvolution with unknown error distribution [0.03%]
误差大小和带宽选择对未知误差分布的脱卷积的影响
Xiao-Feng Wang,Deping Ye
Xiao-Feng Wang
The error distribution is generally unknown in deconvolution problems with real applications. A separate independent experiment is thus often conducted to collect the additional noise data in those studies. In this paper, we study the nonpa...
Variable selection for semiparametric regression models with iterated penalization [0.03%]
迭代惩罚半参数回归模型的选择变量法研究
Ying Dai,Shuangge Ma
Ying Dai
Semiparametric regression models with multiple covariates are commonly encountered. When there are covariates not associated with response variable, variable selection may lead to sparser models, more lucid interpretations and more accurate...
Simultaneous Inference For The Mean Function Based on Dense Functional Data [0.03%]
基于密集函数型数据的均值函数的同时推断
Guanqun Cao,Lijian Yang,David Todem
Guanqun Cao
A polynomial spline estimator is proposed for the mean function of dense functional data together with a simultaneous confidence band which is asymptotically correct. In addition, the spline estimator and its accompanying confidence band en...
Simultaneous multiple non-crossing quantile regression estimation using kernel constraints [0.03%]
基于核约束的多条非交叉量子回归同步估计方法
Yufeng Liu,Yichao Wu
Yufeng Liu
Quantile regression (QR) is a very useful statistical tool for learning the relationship between the response variable and covariates. For many applications, one often needs to estimate multiple conditional quantile functions of the respons...
Wan Tang,Guoxin Zuo,Hua He
Wan Tang
Moderation analyses are widely used in biomedical and psychosocial research to investigate differential treatment effects, with moderators frequently identified through testing the significance of the interaction between the predictor and t...
Xiao Song,Shuangge Ma
Xiao Song
U-estimates are defined as maximizers of objective functions that are U-statistics. As an alternative to M-estimates, U-estimates have been extensively used in linear regression, classification, survival analysis, and many other areas. They...