Variation Independent Parameterizations of Multivariate Categorical Distributions

Distributions With Given Marginals and Statistical Modelling ◽

10.1007/978-94-017-0061-0_3 ◽

2002 ◽

pp. 21-27 ◽

Author(s):

Wicher P. Bergsma ◽

Tamás Rudas

Keyword(s):

Multivariate Categorical

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On Fuzzy Clustering for Incomplete Spherical Data and for Incomplete Multivariate Categorical Data

2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS) ◽

10.1109/scis-isis.2018.00107 ◽

2018 ◽

Author(s):

Yuchi Kanzawa

Keyword(s):

Fuzzy Clustering ◽

Categorical Data ◽

Spherical Data ◽

Multivariate Categorical

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Correspondence analysis of multivariate categorical data by weighted least-squares

10.1093/biomet/75.3.457 ◽

1988 ◽

Vol 75 (3) ◽

pp. 457-467 ◽

Author(s):

MICHAEL J. GREENACRE

Keyword(s):

Least Squares ◽

Correspondence Analysis ◽

Categorical Data ◽

Weighted Least Squares ◽

Multivariate Categorical

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Causation-Based Monitoring and Diagnosis for Multivariate Categorical Processes With Ordinal Information

IEEE Transactions on Automation Science and Engineering ◽

10.1109/tase.2018.2873365 ◽

2019 ◽

Vol 16 (2) ◽

pp. 886-897 ◽

Author(s):

Xiaochen Xian ◽

Jian Li ◽

Kaibo Liu

Keyword(s):

Ordinal Information ◽

Monitoring And Diagnosis ◽

Multivariate Categorical

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On the Partitioning of Goodness-of-Fit Statistics for Multivariate Categorical Response Models

Journal of the American Statistical Association ◽

10.1080/01621459.1996.10476972 ◽

1996 ◽

Vol 91 (435) ◽

pp. 1017-1023 ◽

Author(s):

Joseph B. Lang

Keyword(s):

Goodness Of Fit ◽

Response Models ◽

Fit Statistics ◽

Categorical Response ◽

Multivariate Categorical

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Generating Multivariate Categorical Variates Using the Iterative Proportional Fitting Algorithm

The American Statistician ◽

10.2307/2684626 ◽

1995 ◽

Vol 49 (2) ◽

pp. 134 ◽

Author(s):

Stephen J. Gange

Keyword(s):

Iterative Proportional Fitting ◽

Fitting Algorithm ◽

Multivariate Categorical

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Generating Multivariate Categorical Variates Using the Iterative Proportional Fitting Algorithm

The American Statistician ◽

10.1080/00031305.1995.10476130 ◽

1995 ◽

Vol 49 (2) ◽

pp. 134-138 ◽

Author(s):

Stephen J. Gange

Keyword(s):

Iterative Proportional Fitting ◽

Fitting Algorithm ◽

Multivariate Categorical

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Nonparametric Bayes Modeling of Multivariate Categorical Data

Journal of the American Statistical Association ◽

10.1198/jasa.2009.tm08439 ◽

2009 ◽

Vol 104 (487) ◽

pp. 1042-1051 ◽

Author(s):

David B. Dunson ◽

Chuanhua Xing

Keyword(s):

Categorical Data ◽

Nonparametric Bayes ◽

Multivariate Categorical

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MGLM: An R Package for Multivariate Categorical Data Analysis

The R Journal ◽

10.32614/rj-2018-015 ◽

2018 ◽

Vol 10 (1) ◽

pp. 73 ◽

Author(s):

Juhyun Kim ◽

Yiwen Zhang ◽

Joshua Day ◽

Hua Zhou

Keyword(s):

Data Analysis ◽

Categorical Data ◽

R Package ◽

Categorical Data Analysis ◽

Multivariate Categorical

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Bayesian non‐parametric generation of fully synthetic multivariate categorical data in the presence of structural zeros

Journal of the Royal Statistical Society Series A (Statistics in Society) ◽

10.1111/rssa.12352 ◽

2018 ◽

Vol 181 (3) ◽

pp. 635-647 ◽

Author(s):

Daniel Manrique‐Vallier ◽

Jingchen Hu

Keyword(s):

Categorical Data ◽

Parametric Generation ◽

Structural Zeros ◽

Multivariate Categorical ◽

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Causation-based process monitoring and diagnosis for multivariate categorical processes

IISE Transactions ◽

10.1080/0740817x.2016.1241455 ◽

2016 ◽

Vol 49 (3) ◽

pp. 332-343 ◽

Author(s):

Jian Li ◽

Kaibo Liu ◽

Xiaochen Xian

Keyword(s):

Process Monitoring ◽

Monitoring And Diagnosis ◽

Multivariate Categorical

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