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Convex-Concave fitting to successively updated data and its application to covid-19 analysis
Let [Formula: see text] measurements of a process be provided sequentially, where the process follows a sigmoid shape, but the data have lost sigmoidicity due to measuring errors. If we smooth the data by making least the sum of squares of errors subject to one sign change in the second divided diff...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer US
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9244135/ https://www.ncbi.nlm.nih.gov/pubmed/35789580 http://dx.doi.org/10.1007/s10878-022-00867-w |