Works by Lombardo, Rosaria
Results: 25
A theory of contrasts for modified Freeman–Tukey statistics and its applications to Tukey's post-hoc tests for contingency tables.
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- Computational Statistics, 2025, v. 40, n. 3, p. 1423, doi. 10.1007/s00180-024-01537-7
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Profile transformations for reciprocal averaging and singular value decomposition: Profile transformations for reciprocal averaging...: T.-W. Wang et al.
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- Computational Statistics, 2025, v. 40, n. 3, p. 1217, doi. 10.1007/s00180-024-01517-x
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Testing and Visualization of Associations in Three-Way Contingency Tables: A Study of the Gender Gap in Patients with Type 1 Diabetes and Cardiovascular Complications.
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- Mathematics (2227-7390), 2024, v. 12, n. 14, p. 2186, doi. 10.3390/math12142186
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Correspondence Analysis for Assessing Departures from Perfect Symmetry Using the Cressie–Read Family of Divergence Statistics.
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- Symmetry (20738994), 2024, v. 16, n. 7, p. 830, doi. 10.3390/sym16070830
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Visualising Departures from Symmetry and Bowker's X 2 Statistic.
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- Symmetry (20738994), 2022, v. 14, n. 6, p. N.PAG, doi. 10.3390/sym14061103
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Modelling Trends in Ordered Correspondence Analysis Using Orthogonal Polynomials.
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- Psychometrika, 2016, v. 81, n. 2, p. 325, doi. 10.1007/s11336-015-9448-y
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Sensory analysis via multi-block multivariate additive PLS splines.
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- Journal of Applied Statistics, 2012, v. 39, n. 4, p. 731, doi. 10.1080/02664763.2011.611239
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Studying the dependence between ordinal-nominal categorical variables via orthogonal polynomials.
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- Journal of Applied Statistics, 2011, v. 38, n. 10, p. 2119, doi. 10.1080/02664763.2010.545118
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Simple and multiple correspondence analysis for ordinal-scale variables using orthogonal polynomials.
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- Journal of Applied Statistics, 2010, v. 37, n. 12, p. 2101, doi. 10.1080/02664760903247692
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A GENEALOGY OF CORRESPONDENCE ANALYSIS.
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- Australian & New Zealand Journal of Statistics, 2012, v. 54, n. 2, p. 137, doi. 10.1111/j.1467-842X.2012.00676.x
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Nonsymmetric Correspondence Analysis: A Tool for Analysing Contingency Tables With a Dependence Structure.
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- Multivariate Behavioral Research, 1999, v. 34, n. 3, p. 367, doi. 10.1207/S15327906MBR3403_4
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A genealogy of correspondence analysis: part 2 - the variants.
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- Electronic Journal of Applied Statistical Analysis, 2019, v. 12, n. 2, p. 552, doi. 10.1285/i20705948v12n2p552
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BOOTSTRAP CONFIDENCE REGIONS IN NON-SYMMETRICAL CORRESPONDENCE ANALYSIS.
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- Electronic Journal of Applied Statistical Analysis, 2012, v. 5, n. 3, p. 413, doi. 10.1285/i20705948v5n3p413
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A Model for Evaluating Inequalities in Sustainability.
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- Social Indicators Research, 2024, v. 175, n. 3, p. 879, doi. 10.1007/s11205-023-03152-3
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Assessing Satisfaction with Public Transport Service by Ordered Multiple Correspondence Analysis.
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- Social Indicators Research, 2019, v. 143, n. 1, p. 355, doi. 10.1007/s11205-018-1972-6
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Confidence Regions and Approximate p -values for Classical and Non Symmetric Correspondence Analysis.
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- Communications in Statistics: Theory & Methods, 2015, v. 44, n. 1, p. 95, doi. 10.1080/03610926.2013.768665
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Multiple and multiway correspondence analysis.
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- WIREs: Computational Statistics, 2019, v. 11, n. 5, p. N.PAG, doi. 10.1002/wics.1464
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Analysis of three-way non-symmetrical association of food concepts in cross-cultural marketing.
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- Quality & Quantity, 2019, v. 53, n. 5, p. 2323, doi. 10.1007/s11135-018-0733-6
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Phytoplankton community to assess the environmental status of the Adriatic Sea via non-linear partial least squares regression.
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- Quality & Quantity, 2017, v. 51, n. 2, p. 799, doi. 10.1007/s11135-016-0440-0
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Robust partial least squares regression for the evaluation of justice court delay.
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- Quality & Quantity, 2017, v. 51, n. 2, p. 813, doi. 10.1007/s11135-016-0441-z
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Three-Way Correspondence Analysis in R.
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- R Journal, 2023, v. 15, n. 2, p. 237, doi. 10.32614/rj-2023-049
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High-dimensional data analysis and visualisation.
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- Computational Statistics, 2024, v. 39, n. 1, p. 1, doi. 10.1007/s00180-023-01428-3
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Correspondence Analysis Using the Cressie–Read Family of Divergence Statistics.
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- International Statistical Review, 2024, v. 92, n. 1, p. 17, doi. 10.1111/insr.12541
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Features of the Polynomial Biplot for Ordered Contingency Tables.
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- Journal of Computational & Graphical Statistics, 2022, v. 31, n. 2, p. 403, doi. 10.1080/10618600.2021.1990773
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Multiple Correspondence Analysis via Polynomial Transformations of Ordered Categorical Variables.
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- Journal of Classification, 2010, v. 27, n. 2, p. 191, doi. 10.1007/s00357-010-9056-6
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