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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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Vydáno v:J Stat Comput Simul
Hlavní autoři: Amatya, Anup, Demirtas, Hakan
Médium: Artigo
Jazyk:Inglês
Vydáno: 2016
Témata:
On-line přístup: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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