This paper introduces the robust empirical likelihood (REL) inference for the longitudinal data. We propose the REL method by constructing robust auxiliary random vectors, and employ bounded scores and leverage-based weights in the auxiliary random vectors to achieve robustness against outliers...

In this paper, we consider robust generalized estimating equations for the analysis of semiparametric generalized partial linear mixed models (GPLMMs) for longitudinal data. We approximate the non-parametric function in the GPLMM by a regression spline, and make use of bounded scores and...

In this article, we consider variable selection in robust regression models for longitudinal data. We propose a penalized robust estimating equation to estimate the regression parameters and to select the important covariate variables simultaneously. Under some regularity conditions, we show the...

In this paper, we consider improved estimating equations for semiparametric partial linear models (PLM) for longitudinal data, or clustered data in general. We approximate the non-parametric function in the PLM by a regression spline, and utilize quadratic inference functions (QIF) in the...

Does faster broadband generate more economic benefits than normal-speed broadband? This study examines the differential economic impacts of broadband of different speeds. Utilizing the broadband availability and speed data from the National Broadband Map, a first-differenced regression analysis...