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English Information

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Authors
# Name
1 Tarsila Tavares(tarsila.tavares@aluno.cefet-rj.br)
2 Kele Belloze(kele.belloze@cefet-rj.br)
3 Ronaldo Goldschmidt(ronaldo.rgold@ime.eb.br)
4 Jorge Soares(jorge.soares@cefet-rj.br)

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Reference
# Reference
1 Cartwright, M., Shepperd, M., and Song, Q. (2003). Dealing with missing software Project data. Software Metrics, IEEE International Symposium on, 0:154.
2 Coneglian, G. and Segundo (2017). Missing data: Our view of the state of the art. Encontros Bibli, 22.
3 Ferlin, C. (2008). Imputação em cascata: uma abordagem para imputação multivariada de dados. PhD thesis, Tese (Doutorado em Engenharia de Sistemas e Computação - Universidade Federal do Rio de Janeiro - Rio de Janeiro.
4 Gelman, A. and Hill, J. (2006). Data Analysis Using Regression And Multilevel/Hierarchical Models, volume 3.
5 Gonçalves, L. M. (2021). Imputação hot-deck: Uma revisão sistemática da literatura. Master’s thesis, Dissertação (Mestrado em Ciência da Computação) - Centro Federal de Educação Tecnológica Celso Suckow da Fonseca (CEFET/RJ).
6 Jarrahi, M. H., Memariani, A., and Guha, S. (2022). The principles of data-centric ai (dcai). Communications of the ACM.
7 Little, R. and Rubin, D. (2019). Statistical Analysis with Missing Data. Wiley.
8 Montiel, J., Read, J., Bifet, A., and Abdessalem, T. (2018). Scalable model-based cascaded imputation of missing data. Lecture Notes in Computer Science (including subseries. Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10939 LNAI:64 – 76.
9 Rubin, D. B. (1976). Inference and missing data. Biometrika, 63(3):581–592.
10 Rubin, D. B. (1988). An overview of multiple imputation. Journal of the American Statistical Association, page 79–84.
11 Wayman, J. (2003). Multiple imputation for missing data: What is it and how can i use it. Annual Meeting of the American Educational Research Associantion.