Special issue on correspondence analysis and related methods

[1]  Willem J. Heiser,et al.  Diagnostics for regression dependence in tables re-ordered by the dominant correspondence analysis solution , 2009, Comput. Stat. Data Anal..

[2]  Willem J. Heiser,et al.  Computational Statistics and Data Analysis a Dual Latent Class Unfolding Model for Two-way Two-mode Preference Rating Data , 2022 .

[3]  Michael Greenacre,et al.  Power Transformations in Correspondence Analysis , 2007, Comput. Stat. Data Anal..

[4]  Mark de Rooij,et al.  Trend vector models for the analysis of change in continuous time for multiple groups , 2009, Comput. Stat. Data Anal..

[5]  Michel van de Velden,et al.  Seriation by constrained correspondence analysis: A simulation study , 2009, Comput. Stat. Data Anal..

[6]  Amaya Zárraga,et al.  Simultaneous analysis and multiple factor analysis for contingency tables: Two methods for the joint study of contingency tables , 2009, Comput. Stat. Data Anal..

[7]  Tomás Aluja,et al.  Book review: Multiple correspondence analysis and related methods. Greenacre, M. and Blasius, J. Chapman & Hall/CRC, 2006. , 2006 .

[8]  Willem J. Heiser,et al.  Computational Statistics and Data Analysis Two Types of Single-peaked Data: Correspondence Analysis as an Alternative to Principal Component Analysis , 2022 .

[9]  Cajo J. F. ter Braak,et al.  Approximating a similarity matrix by a latent class model , 2013 .

[10]  Michael Greenacre,et al.  Visualization of Categorical Data , 1998 .

[11]  M. Hill.  Correspondence Analysis: A Neglected Multivariate Method , 1974 .

[12]  Maurizio Vichi,et al.  Clustering and disjoint principal component analysis , 2009, Comput. Stat. Data Anal..

[13]  Jae Won Lee,et al.  Correspondence analysis approach for finding allele associations in population genetic study , 2007, Comput. Stat. Data Anal..

[14]  Karl Pearson F.R.S..  LIII. On lines and planes of closest fit to systems of points in space , 1901 .

[15]  Wayne S. DeSarbo,et al.  A three-way clusterwise multidimensional unfolding procedure for the spatial representation of context dependent preferences , 2009, Comput. Stat. Data Anal..

[16]  Yoshio Takane,et al.  Regularized nonsymmetric correspondence analysis , 2009, Comput. Stat. Data Anal..

[17]  M. D. Martínez-Miranda,et al.  Computational Statistics and Data Analysis , 2009 .

[18]  John C. Gower,et al.  Better biplots , 2009, Comput. Stat. Data Anal..

[19]  M. Greenacre,et al.  Correspondence Analysis in the Social Sciences. , 1995 .

[20]  Eric J. Beh,et al.  Non-symmetric correspondence analysis with ordinal variables using orthogonal polynomials , 2007, Comput. Stat. Data Anal..

[21]  M. Greenacre,et al.  Multiple Correspondence Analysis and Related Methods , 2006 .