A Multiple Imputation Framework for Massive Multivariate Data of Different Variable Types: A Monte-Carlo Technique-Reference-Cited by-同舟云学术

A Multiple Imputation Framework for Massive Multivariate Data of Different Variable Types: A Monte-Carlo Technique

Published:2017 Issue: Volume: Page:143-162
ISSN:2199-0980
Container-title:Monte-Carlo Simulation-Based Statistical Modeling
language:
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Author:

Demirtas Hakan

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-3307-0_8

Reference59 articles.

1. Amatya, A., & Demirtas, H. (2015a). Simultaneous generation of multivariate mixed data with Poisson and normal marginals. Journal of Statistical Computation and Simulation, 85, 3129–3139.

2. Amatya, A., & Demirtas, H. (2015b). Concurrent generation of ordinal and normal data with given correlation matrix and marginal distributions, R package OrdNor. http://CRAN.R-project.org/package=OrdNor .

3. Amatya, A., & Demirtas, H. (2016a). Simultaneous generation of multivariate binary and normal variates, R package BinNor. http://CRAN.R-project.org/package=BinNor .

4. Amatya, A., & Demirtas, H. (2016b). Generation of multivariate ordinal variates, R package MultiOrd. http://CRAN.R-project.org/package=MultiOrd .

5. Amatya, A., & Demirtas, H. (2016c). Simultaneous generation of multivariate data with Poisson and normal marginals, R package PoisNor. http://CRAN.R-project.org/package=PoisNor .

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