Determining the main variables to measure human risk in organizations :

1) Nom de fichier du tableau à représenter. 2) Nom du fichier d'ordination des colonnes (en abscisse). Pour utiliser une autre échelle, indiquer un fichier contenant autant de

We define the importance of variables as their power to predict the ID cluster: a variable is relevant only if it is able to predict correctly the ID cluster obtained from the

Marginal log-linear parameters generated by a complete sequence form a parameterization of the distribution on the contingency table... Two specific sets of parameters

The Mickey method only requires the creation of a dummy variable data set using information from the cross tabulations of the two categorical variables and the

Theorem 1.3 generalizes to a lower bound for the normalized height of a hypersurface defined and irreducible over a number field (theorem 3.4 and remark 3.6)... I would like to

The rest of the paper is organized as follows: section 2 set down notations and shows the equivalence between the entropy-based criterion and Bregman divergence, section 3

Thus, classical independence tests involving Pearson’s chi-square statistic Q or Kullback’s minimum discrimination information statistic G cannot be applied because some of the

Multiple factor analysis [2] deals with a multiple table, composed of sets of either quantitative or categorical variables balancing the influence of the different sets on