Titlebook: COMPSTAT 2008; Proceedings in Compu Paula Brito Conference proceedings 2008 Physica-Verlag Heidelberg 2008 ANOVA.Fitting.Graph.Latent varia

oncologist

Fundamental, or Structural, Disequilibriaitly parallelizing basic R operations, such as vectorized arithmetic operations; this is suitable for taking advantage of multi-core processors with shared memory. The second approach is based on developing a small set of explicit parallel computation directives and is most useful in a distributed m

endure

The Concept of Fundamental Equilibrium provides exploratory methods for revealing the structure of such data and proceeds typically by heuristical, even if suggestive methods that generalize criteria and algorithms from classical multivariate statistics. In contrast, this paper proposes to base the analysis of symbolic data on probabili

Mystic

The Concept of Fundamental Equilibriume read as a decision tree. We propose in this paper a new version of this method called C-DIVCLUS-T which is able to take contiguity constraints into account. We apply C-DIVCLUS-T to hydrological areas described by agricultural and environmental variables, in order to take their geographical contigu

ablate

assail

National Management of International Economy models for categorical data. This paper describes a modification of this algorithm, which allows one to compute maximum likelihood estimates in a class of chain graph models for categorical data. The considered discrete chain graph models are defined using conditional independence relations arising

ARENA

Optimum

convulsion

https://doi.org/10.1007/978-1-349-07129-6ecifically, the discrepancy between the actual rejection probability of a bootstrap test under the null and the nominal level of the test appears to be smaller than suggested by theory, which in any case often yields only a rate of convergence of this discrepancy to zero. Here it is argued that the

危險(xiǎn)

CYT

Fundamental, or Structural, Disequilibriaitudinal data has been recently proposed by Cagnone, Moustaki and Vasdekis (2008). The model allows for time-dependent latent variables to explain the associations among ordinal variables within time where the associations among the same items across time are modelled with item-specific random effec