Determining the main variables to measure human risk in organizations :

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

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

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

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

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

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

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