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Concurrent generation of multivariate mixed data with variables of dissimilar types
Data sets originating from wide range of research studies are composed of multiple variables that are correlated and of dissimilar types, primarily of count, binary/ordinal and continuous attributes. The present paper builds on the previous works on multivariate data generation and develops a framew...
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| Publicado no: | J Stat Comput Simul |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5117654/ https://ncbi.nlm.nih.gov/pubmed/27885310 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/00949655.2016.1177530 |
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