The aim of this paper is to derive local influence curvatures under various perturbation schemes for elliptical linear models with longitudinal structure. The elliptical class provides a useful generalization of the normal model since it covers both lightand heavy-tailed distributions for the errors, such as Student-t, power exponential, contaminated normal, among others. It is well known that ...

* This work was supported by Chinese National Key Project funds under the grants 96-738-01-01-07. Abstract: In this paper, we defined a new FSM model that based on the synchronous behavior and symbolic representation technique. The algorithm to elaborate the model from the VHDL description of synchronous circuits is presented. By eliminating the unnesessary transition function, our model has mu...

Linear models for uncorrelated data have well established measures to gauge the influence of one or more observations on the analysis. For such models, closed-form update expressions allow efficient computations without refitting the model. When similar notions of statistical influence are applied to mixed models, things are more complicated. Removing data points affects fixed effects and covar...

This paper presents a multi-objective simulated annealing algorithm for the mixed-model assembly line balancing with stochastic processing times. Since, the stochastic task times may have effects on the bottlenecks of a system, maximizing the weighted line efficiency (equivalent to the minimizing the number of station), minimizing the weighted smoothness index and maximizing the system reliabil...

October 15, 2009 Version 3.1-96 Date 2009-10-15 Priority recommended Title Linear and Nonlinear Mixed Effects Models Author Jose Pinheiro (S version), Douglas Bates (up to 2007), Saikat DebRoy (up to 2002), Deepayan Sarkar (up to 2005), the R Core team. Maintainer R-core <R-core@R-pr...

We present a novel approach for the flexible modeling of exposurelag-response associations, i.e., time-to-event data where multiple past exposures are cumulatively associated with the hazard after a certain temporal delay. Our method is based on piece-wise exponential models and allows estimation of a wide variety of effects, including potentially smooth and time-varying effects as well as cumu...

Tutorial Part 1: Linear modeling Linear models and linear mixed models are an impressively powerful and flexible tool for understanding the world. This tutorial is a decidedly conceptual introduction to this class of models. The focus is on understanding BLOCKIN BLOCKIN what these models are doing … and then we'll spend most of the time applying this understanding, using the R statistical progr...