Edsel A Peña
Edsel A Peña
Asymptotic properties, both consistency and weak convergence, of estimators arising in a general class of dynamic recurrent event models are presented. The class of models take into account the impact of interventions after each event occur...
Hsin-Wen Chang,Hammou El Barmi,Ian W McKeague
Hsin-Wen Chang
In two-sample comparison problems it is often of interest to examine whether one distribution function majorizes the other, i.e., for the presence of stochastic ordering. This paper develops a nonparametric test for stochastic ordering from...
Akm Fazlur Rahman,Limin Peng,Amita Manatunga et al.
Akm Fazlur Rahman et al.
Characterizing the correspondence between an ordinal measurement and a continuous measurement is often of interest in mental health studies. To this end, Peng, Li, Guo, and Manatunga (2011) introduced the concept of broad sense agreement (B...
L-statistics for Repeated Measurements Data With Application to Trimmed Means, Quantiles and Tolerance Intervals [0.03%]
重复测量数据的L-统计量及其在修匀均值、分位数和容忍区间的应用
Houssein I Assaad,Pankaj K Choudhary
Houssein I Assaad
The L-statistics form an important class of estimators in nonparametric statistics. Its members include trimmed means and sample quantiles and functions thereof. This article is devoted to theory and applications of L-statistics for repeate...
Yoonsuh Jung,Jianhua Hu
Yoonsuh Jung
Cross-validation type of methods have been widely used to facilitate model estimation and variable selection. In this work, we suggest a new K-fold cross validation procedure to select a candidate 'optimal' model from each hold-out fold and...
Parametrically guided estimation in nonparametric varying coefficient models with quasi-likelihood [0.03%]
半参数导引的拟似然非参数变系数模型估计方法研究
Clemontina A Davenport,Arnab Maity,Yichao Wu
Clemontina A Davenport
Varying coefficient models allow us to generalize standard linear regression models to incorporate complex covariate effects by modeling the regression coefficients as functions of another covariate. For nonparametric varying coefficients, ...
Regression analysis of clustered interval-censored failure time data with the additive hazards model [0.03%]
带约束的间断观测下加法模型的回归分析
Junlong Li,Chunjie Wang,Jianguo Sun
Junlong Li
This paper discusses regression analysis of clustered failure time data, which means that the failure times of interest are clustered into small groups instead of being independent. Clustering occurs in many fields such as medical studies. ...
Joshua D Habiger,Edsel A Peña
Joshua D Habiger
The validity of many multiple hypothesis testing procedures for false discovery rate (FDR) control relies on the assumption that P-value statistics are uniformly distributed under the null hypotheses. However, this assumption fails if the t...
Parametrically Guided Generalized Additive Models with Application to Mergers and Acquisitions Data [0.03%]
带有参数引导的广义可加模型及其在并购数据中的应用
Jianqing Fan,Arnab Maity,Yihui Wang et al.
Jianqing Fan et al.
Generalized nonparametric additive models present a flexible way to evaluate the effects of several covariates on a general outcome of interest via a link function. In this modeling framework, one assumes that the effect of each of the cova...
Zhao Chen,Runze Li,Yaohua Wu
Zhao Chen
Autoregressive (AR) models with finite variance errors have been well studied. This paper is concerned with AR models with heavy-tailed errors, which is useful in various scientific research areas. Statistical estimation for AR models with ...