Statistical models that include random effects are commonly used to analyze longitudinal and correlated data, often with strong and parametric assumptions about the random effects distribution. There is marked disagreement in the literature as to whether such parametric assumptions are important or innocuous. In the context of generalized linear mixed models used to analyze clustered or longitu...

A complex trait like crop yield is determined by its component traits. Multivariable conditional analysis in a general mixed linear model is helpful in dissecting the gene expression for the complex trait due to different effects, such as environment, genotype, and genotype× environment interaction. A recursive approach is presented for constructing a new randomvector that can be equivalently u...

Tracking by assignment is well suited for tracking a varying number of divisible cells, but suffers from false positive detections. We reformulate tracking by assignment as a chain graph–a mixed directedundirected probabilistic graphical model–and obtain a tracking simultaneously over all time steps from the maximum a-posteriori configuration. The model is evaluated on two challenging four-dime...

The nonenzymatic replication of RNA oligonucleotides is thought to have played a key role in the origin of life prior to the evolution of ribozyme-catalyzed RNA replication. Although the copying of oligo-C templates by 2-methylimidazole-activated G monomers can be quite efficient, the copying of mixed sequence templates, especially those containing A and U, is particularly slow and error-prone....

Analysis of collaborative e-test construction identified the number of testauthors as the most important factor in test validity, while test reliability depends more on participation of an expert. Based on these findings, a collaborative e-test construction system was developed that uses predicted response-time and score distributions to improve the reliability of tests constructed by novice te...

In this article, we present two formulations and their unification for the Mixed-Model Sequencing Problem with Workload Minimisation (MMSP-W) for production lines with serial workstations and parallel homogeneous processors. The models were executed in Solver CPLEX, with reference instances and with a case study of Nissan’s Powertrain plant in Barcelona. Different situations were analysed to ev...

In this contribution, linearized dynamic model of Cumulative Mass Fraction (CMF) of Potassium Nitrate-Water Seeded Continues Mixed Suspension Mixed Product Removal (CMSMPR) crystallizer is approximated by a simplified model in frequency domain. Frequency domain model simplification is performed heuristically using the frequency response of the derived linearized models data. However, the CM...

Large eddy simulation (LES) of turbulent heat transfer in an infinite channel has been used to compare the performance of several promising sub-filter-scale models for modelling the transport of a passive scalar. The dynamic mixed model and the dynamic reconstruction model (a higher order version of the mixed model) have been reported in the literature to perform very well in LES of turbulent f...

A new measure for reliability of a rating scale is introduced, based on the classical definition of reliability, as the ratio of the true score variance and the total variance. Clinical trial data can be employed to estimate the reliability of the scale in use, whenever repeated measurements are taken. The reliability is estimated from the covariance parameters obtained from a linear mixed mode...

The goal of this paper is to review the main results offered by some experimental paradigms to support morphological processing of visual isolated words. Three theoretical hypotheses proposing different solutions to the role of word morphological structure in lexical access and representation are described: a) full parsing, b) full listing and c) mixed models. Data from morphologically structur...