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Profile Likelihood for Hierarchical Models Using Data Doubling
In scientific problems, an appropriate statistical model often involves a large number of canonical parameters. Often times, the quantities of scientific interest are real-valued functions of these canonical parameters. Statistical inference for a specified function of the canonical parameters can b...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10530212/ https://www.ncbi.nlm.nih.gov/pubmed/37761561 http://dx.doi.org/10.3390/e25091262 |