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Kernel Smoothing Density Estimation when Group Membership is Subject to Missing
Density function is a fundamental concept in data analysis. Nonparametric methods including kernel smoothing estimate are available if the data is completely observed. However, in studies such as diagnostic studies following a two-stage design the membership of some of the subjects may be missing. S...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2012
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3221313/ https://ncbi.nlm.nih.gov/pubmed/22116738 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jspi.2011.09.009 |
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