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A mixture distribution for modelling bivariate ordinal data
Ryan H.L. Ip
, K. Y.K. Wu
Computing, Mathematics and Engineering
Imaging and Sensing Research Group
DaMRG - Data Mining Research Group
Data Science and Engineering Research Unit
Auckland University of Technology
Singapore University of Social Sciences
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Article
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peer-review
1
Citation (Scopus)
4
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Keyphrases
Bivariate
100%
Survey Items
100%
Mixture Distribution
100%
Ordinal Data
100%
Likert Scale
50%
Uniform Model
50%
Hypothesis Testing
50%
Parameter Estimation
50%
Distinctive Features
50%
Binomial Model
50%
Underlying Logic
50%
Correlated Ordinal Data
50%
Ordinal Response
50%
Respondent Uncertainty
50%
Error Calculation
50%
Copula-based Approach
50%
Mathematics
Bivariate
100%
Ordinal Data
100%
Mixture Distribution
100%
Wide Range
50%
Ordinal Response
50%
Copula
50%
Parameter Estimation
50%
Standard Error Estimation
50%
Bivariate Case
50%
Likert Scale
50%
Hypothesis Test
50%
Binomial Model
50%