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This inference is obtained by a specific sensitization with sensor nodes and a reasoning layer embedded in a personal computer.
This inference is obtained by a specific sensorisation with sensor nodes (portables and fixes) and a reasoning layer embedded in a PC that learns of the users behaviour patterns and advices when actual one differs significantly of the normal patterns.
Our consensus inference is obtained by cross-examination of the inferences drawn from the three perspectives.
Our consensus inference is obtained by the cross-examination of the inferences drawn from different instruments.
Inference is obtained using Markov chain Monte Carlo (MCMC) methods, and the model allows us to simultaneously estimate the random effects, their local spatial structure as well as the fixed effects.
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Adequate parameters for phylogeny inference were obtained by submitting the produced alignment to the ProtTest evolutionary model selection software [23].
Statistical inference was obtained using the Wald test.
Phylogenetic trees by Bayesian inference were obtained using two softwares, MrBayes 3.1.2 software for Macintosh [ 29] and BEST [ 30].
A Bayesian phylogenetic inference was obtained using Mr Bayes version 3.1 [ 24] with random starting trees without constraints.
A Bayesian phylogenetic inference was obtained by using MrBayes version 3.1 (http://mrbayes.csit/fsu.edu/) with random starting trees without constraints.
When distributional assumption of normality was not met, the statistical inference was obtained using the Mann-Whitney U test, an equivalent nonparametric test.
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