Bootstrap confidence regions for correspondence analysis

References

• Milan , L. and Whittaker , J. 1995 . Application of the parametric bootstrap to models that incorporate a singular value decomposition . Appl. Stat. , 44 : 31 – 50 .
   Web of Science ®Google Scholar
• Ringrose , T. J. Bootstrap confidence regions for canonical variate analysis . COMPSTAT: Proceedings in Computational Statistics: 11th Symposium held in Vienna, Austria, 1994 , Edited by: Dutter , R. and Grossmann , W. pp. 343 – 348 . Heidelberg : Physica-Verlag .
   Google Scholar
• Ringrose , T. J. 1996 . Alternative confidence regions for canonical variate analysis . Biometrika , 83 : 575 – 587 .
   Web of Science ®Google Scholar
• Lebart , L. , Morineau , A. and Warwick , K. M. 1984 . Multivariate Descriptive Statistical Analysis , New York : Wiley .
   Google Scholar
• Beh , E. J. 2010 . Elliptical confidence regions for simple correspondence analysis . J. Statist. Plann. Inference , 140 : 2582 – 2588 .
   Web of Science ®Google Scholar
• Greenacre , M. J. 1984 . Theory and Applications of Correspondence Analysis , London : Academic Press .
   Google Scholar
• Ringrose , T. J. 1992 . Bootstrapping and correspondence analysis in archaeology . J. Archaeol. Sci. , 19 : 615 – 629 .
   Web of Science ®Google Scholar
• Greenacre , M. J. 2007 . Correspondence Analysis in Practice , 2 , New York : Chapman & Hall .
   Google Scholar
• Markus , M. T. Bootstrap confidence regions for homogeneity analysis; the influence of rotation on coverage percentages . COMPSTAT: Proceedings in Computational Statistics: 11th Symposium held in Vienna, Austria, 1994 , Edited by: Dutter , R. and Grossmann , W. pp. 337 – 342 . Heidelberg : Physica-Verlag .
   Google Scholar
• Markus , M. T. 1994 . Bootstrap Confidence Regions in Non-Linear Multivariate Analysis , Leiden : DSWO Press .
   Google Scholar
• Michailidis , G. and de Leeuw , J. 1998 . The Gifi system of descriptive multivariate analysis . Statist. Sci. , 13 : 307 – 336 .
   Web of Science ®Google Scholar
• Gifi , A. 1990 . Nonlinear Multivariate Analysis , Chichester : Wiley .
   Google Scholar
• van de Velden , M. and Kiers , H. A.L. 2005 . Rotation in correspondence analysis . J. Classification , 22 : 251 – 271 .
   Web of Science ®Google Scholar
• Davison , A. C. and Hinkley , D. V. 1997 . Bootstrap Methods and their Applications , Cambridge : Cambridge University Press .
   Google Scholar
• Lebart , L. 2007 . “ Which bootstrap for principal axes methods? ” . In Selected Contributions in Data Analysis and Classification , Edited by: Brito , P. , Cucumel , G. , Bertrand , P. and de Carvalho , F. 581 – 588 . Berlin : Springer .
   Google Scholar
• Kiers , H. A.L. 2004 . Bootstrap confidence intervals for three-way methods . J. Chemom. , 18 : 22 – 36 .
   Web of Science ®Google Scholar
• Linting , M. , Meulman , J. J. , Groenen , P. J.F. and van der Kooij , A. J. 2007 . Stability of nonlinear principal components analysis: an empirical study using the balanced bootstrap . Psychol. Methods , 12 : 359 – 379 .
   PubMed Web of Science ®Google Scholar
• Nowak , E. and Bar-Hen , A. 2005 . Influence function and correspondence analysis . J. Statist. Plann. Inference , 134 : 26 – 35 .
   Web of Science ®Google Scholar
• Iliopoulos , G. , Kateri , M. and Ntzoufras , I. 2007 . Bayesian estimation of unrestricted and order-restricted association models for a two-way contingency table . Comput. Statist. Data Anal. , 51 : 4643 – 4655 .
   Web of Science ®Google Scholar
• van der Heijden , P. G.M. , de Falguerolles , A. and de Leeuw , J. 1989 . A combined approach to contingency table analysis using correspondence analysis and log-linear analysis . Appl. Stat. , 38 : 249 – 292 .
   Web of Science ®Google Scholar