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Applied multiple imputation: advantages, pitfalls, new developments and applications in R
This book explores missing data techniques and provides a detailed and easy-to-read introduction to multiple imputation, covering the theoretical aspects of the topic and offering hands-on help with the implementation. It discusses the pros and cons of various techniques and concepts, including mult...
Autores principales: | , , , |
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Lenguaje: | eng |
Publicado: |
Springer
2020
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-030-38164-6 http://cds.cern.ch/record/2713885 |