Methodological Principles and Practice
Notes on Contributors
RAMÓN ÁLVAREZ ESTEBAN is Associate Professor at Universidad de León. His areas of specialism are textual data, statistical analysis of socioeconomic variables, multivariate data analysis in marketing research, stability and resampling methods in multivariate methods. His key publications include ‘Rating of products through scores and free-text assertions: Comparing and combining both’, Food Quality and Preference, 19, 122–34 (2008); ‘Statistical Study of Judicial Practices’, Lecture Notes in Artificial Intelligence LNCS 3369, 25–35 (2005) (with M. Ayuso and M. Bécue-Bertaut); and ‘Assessing the stability of supplementary elements on principal axes maps through bootstrap resampling. Contribution to interpretation in textual analysis’ (with O. Valencia and M. Bécue-Bertaut) in C. H. Skiadas (ed.), Statistics for Industry and Technology, Advances in Data Analysis.
MÓNICA BÉCUE-BERTAUT is Associate Professor at Universitat Politècnica de Catalunya. Her areas of specialism are multidimensional analysis and applications to survey data, analysis of mixed textual and contextual data, argumentative structure in law domain and sensometrics. Her key publications include ‘Rhetorical strategy in forensic closing speeches: Multidimensional statistics-based methodology’ in Journal of Classification (in press) (with B. Kostov, A. Morin and G. Naro); ‘Multiple factor analysis and clustering of a mixture of quantitative, categorical and frequency data’ in Computational Statistics & Data Analysis, 52, 3255–68 (with J. Pagès) (2008); and ‘A principal axes method for comparing contingency tables: MFACT’ in Computational Statistics & Data Analysis, 52, 481–503 (with J. Pagès) (2004).