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Analysis of doubly truncated data: an introduction
This book introduces readers to statistical methodologies used to analyze doubly truncated data. The first book exclusively dedicated to the topic, it provides likelihood-based methods, Bayesian methods, non-parametric methods, and linear regression methods. These procedures can be used to effective...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2019
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| Acceso en línea: | https://dx.doi.org/10.1007/978-981-13-6241-5 http://cds.cern.ch/record/2677969 |