Diagnostics in a simple correspondence analysis model: An approach based on Cook’s distance for log-linear models

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2015.01.008 ◽

2015 ◽

Vol 136 ◽

pp. 175-189 ◽

Author(s):

Nirian Martín

Keyword(s):

Correspondence Analysis ◽

Linear Models ◽

Analysis Model ◽

Cook’S Distance ◽

Cook's Distance

Download Full-text

Residual Scaling: An Alternative to Correspondence Analysis for the Graphical Representation of Residuals from Log-Linear Models

Multivariate Behavioral Research ◽

10.1207/s15327906mbr2503_7 ◽

1990 ◽

Vol 25 (3) ◽

pp. 351-370 ◽

Author(s):

Thomas P. Novak ◽

Donna L. Hoffman

Keyword(s):

Correspondence Analysis ◽

Linear Models ◽

Graphical Representation ◽

Download Full-text

Linking ordinal log-linear models with Correspondence Analysis: an application to estimating drug-likeness in the drug discovery process

Piantadosi, J., Anderssen, R.S. and Boland J. (eds) MODSIM2013, 20th International Congress on Modelling and Simulation ◽

10.36334/modsim.2013.i1.zafar ◽

2013 ◽

Keyword(s):

Drug Discovery ◽

Correspondence Analysis ◽

Linear Models ◽

Discovery Process ◽

Drug Discovery Process ◽

Download Full-text

Contributions to the statistical analysis of contingency tables: Notes on quasi-symmetry, quasi-independence, log-linear models, log-bilinear models, and correspondence analysis models

Annales de la faculté des sciences de Toulouse Mathématiques ◽

10.5802/afst.1037 ◽

2002 ◽

Vol 11 (4) ◽

pp. 525-540 ◽

Author(s):

Leo A. Goodman

Keyword(s):

Statistical Analysis ◽

Correspondence Analysis ◽

Linear Models ◽

Contingency Tables ◽

Bilinear Models ◽

Analysis Models

Download Full-text

Some Useful Extensions of the Usual Correspondence Analysis Approach and the Usual Log-Linear Models Approach in the Analysis of Contingency Tables

International Statistical Review ◽

10.2307/1403053 ◽

1986 ◽

Vol 54 (3) ◽

pp. 243 ◽

Author(s):

Leo A. Goodman

Keyword(s):

Correspondence Analysis ◽

Linear Models ◽

Contingency Tables ◽

Analysis Approach ◽

Download Full-text

[Some Useful Extensions of the Usual Correspondence Analysis Approach and the Usual Log-Linear Models Approach in the Analysis of Contingency Tables]: Reply to Discussion

International Statistical Review ◽

10.2307/1403060 ◽

1986 ◽

Vol 54 (3) ◽

pp. 291 ◽

Author(s):

Leo A. Goodman

Keyword(s):

Correspondence Analysis ◽

Linear Models ◽

Contingency Tables ◽

Analysis Approach ◽

Download Full-text

A Combined Approach Using Multiple Correspondence Analysis and Log-linear Models for Student Perception in Quality in Higher Education

Procedia Economics and Finance ◽

10.1016/s2212-5671(14)00878-8 ◽

2014 ◽

Vol 17 ◽

pp. 55-62 ◽

Author(s):

Nurdan Kalayci ◽

Murat Alper Basaran

Keyword(s):

Higher Education ◽

Correspondence Analysis ◽

Linear Models ◽

Multiple Correspondence Analysis ◽

Student Perception ◽

Combined Approach ◽

Quality In Higher Education ◽

Download Full-text

Interpretation of Epidemiological Data Using Multiple Correspondence Analysis and Log-linear Models

Journal of Data Science ◽

10.6339/jds.2004.02(1).122 ◽

2021 ◽

Vol 2 (1) ◽

pp. 75-86

Author(s):

Demosthenes B. Panagiotakos ◽

Christos Pitsavos

Keyword(s):

Correspondence Analysis ◽

Linear Models ◽

Multiple Correspondence Analysis ◽

Epidemiological Data ◽

Download Full-text

Stochastic gradient descent training for L1-regularized log-linear models with cumulative penalty

Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - ACL-IJCNLP '09 ◽

10.3115/1687878.1687946 ◽

2009 ◽

Author(s):

Yoshimasa Tsuruoka ◽

Jun'ichi Tsujii ◽

Sophia Ananiadou

Keyword(s):

Gradient Descent ◽

Linear Models ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Download Full-text

When and why are log-linear models self-normalizing?

10.3115/v1/n15-1027 ◽

2015 ◽

Author(s):

Jacob Andreas ◽

Dan Klein

Keyword(s):

Linear Models ◽

Download Full-text

Review of "Analyzing Qualitative/Categorical Data: Log-Linear Models and Latent-Structure Analysis, by Leo A. Goodman", Abt Books, 1978

ACM SIGSIM Simulation Digest ◽

10.1145/1102815.1102830 ◽

1979 ◽

Vol 10 (4) ◽

pp. 69-69

Keyword(s):

Structure Analysis ◽

Categorical Data ◽

Linear Models ◽

Latent Structure ◽

Latent Structure Analysis ◽

Download Full-text