The statistical analysis of the heterogeneity of the style of a text often leads to the analysis of contingency tables of ordered rows. When multiple authorship is suspected, one can explore that heterogeneity through either a change-point analysis of these rows, consistent with sudden changes of author, or a cluster analysis of them, consistent with authors contributing exchangeably, without t...

Abstract We present multiple factor analysis for contingency tables (MFACT) and its implementation in the FactoMineR package. This method, through an option of the MFA function, allows us to deal with multiple contingency or frequency tables, in addition to the categorical and quantitative multiple tables already considered in previous versions of the package. Thanks to this revised function, e...

Contingency analysis in power grids is one of the most effective ways to improve grids’ resilience against failures. The main goal of contingency analysis is to detect probable failures in the grid that result in a critical state and deploy preventive measures to avoid such state. Due to the large number of possibilities, however, high order contingency analysis is computationally expensive and...

Contingency analysis and risk management are important tasks for the safe operation of electrical energy network. Potential harmful disturbances that occur during the steady state operation of a power system are known as contingencies. Contingency analysis is carried out by using repeated load flow solutions for each of a list of potential component failures. In this paper is work is carried ou...

Overall price optimization strategy in the deregulated electricity market is one of the most important challenges for the participants, In this paper, we used Contingency Analysis Module of NEPLAN Software, a strategy of pricing to market participants is depicted.Each of power plants according to their size and share of the Contingency Analysis should be considered in the price of its hour. In ...

An alternative approach to classical correspondence analysis was developed in [3] and involves decomposing the matrix of Pearson contingencies of a contingency table using orthogonal polynomials rather than via singular value decomposition. It is especially useful in analysing contingency tables which are of an ordinal nature. This short paper demonstrates that the confidence circles of Lebart,...