Statistique exploratoire multidimensionnelle

By L. Lebart, A. Morineau, Marie Piron, Brigitte Escalier. 1995

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Citations in the corpus

• On the Schoenberg Transformations in Data Analysis: Theory and Illustrations (2010, background): “…or set a i = 0 for objects whose behavior might influence excessively the overall configuration, as in the treatment of “ supplementary elements ” in Correspondence Analysis (see e.g. Benz´ecri 1992; Lebart, Morineau and Piron 1998; Meulman, van der Kooij and Heiser 2004; Greenacre and Blasius 2006).”
• Genetic relationships in the olive (Olea europaea L.) reflect multilocal selection of cultivars (2001, methodology): “Standard errors of the estimates of θ or θ′, were computed by the Jackknife method (Shao and Tu 1995; Lebart et al. 1997 ) with 96 degrees of freedom.”
• Dynamics of fisheries, and the flexibility of vessel activity in Denmark between 1989 and 2001 (2004, methodology): “18 used for estimating the appropriate number of clusters was the percentage of the variance explained (Lebart et al., 1995).”
• Species identification of pelagic fish schools on the South African continental shelf using acoustic descriptors and ancillary information (2001, methodology): “Principal components analysis [PCA; Anderson (1958); Lebart et al. (1995) ] of school features was performed to identify composite factors which could be more easily compared among school categories, species, survey years, and spatial areas, than each feature individually.”
• The effects of eutrophication-related alterations to coral reef communities on agents and rates of bioerosion (Reunion Island, Indian Ocean) (2002, methodology): “The coordinates of each block on the first three axes of the PCA were saved for subsequent hierarchical classification.”
• Long-term changes in fish abundance and environmental indices in the Black Sea (2003, methodology): “261 Principal components analysis (PCA: Lebart et al. 1995) was applied to explore long-term patterns in multiple series.”
• NbClust: An R Package for Determining the Relevant Number of Clusters in a Data Set (2014, methodology): “The Dindex (Lebart et al. 2000) is based on clustering gain on intra-cluster inertia.”
• Cultivar Identification in Olive Based on RAPD Markers (2001, methodology): “Saporta (1990) and Lebart et al. (1997) have described this algorithm in a generalized form.”
• FactoMineR: An R Package for Multivariate Analysis (2008, methodology): “This transformation is named v test by Lebart, Morineau, and Piron (1997).”
• An Analysis of the Determinants of Entrepreneurial Intentions among Students: A Romanian Case Study (2016, background): “According to Lebart, high levels of this statistic test (KMO) indicate that the items included in the analysis explain in a significant proportion (over 70%) the variance calculated for each entrepreneurial dimension [95].”