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A Path Algorithm for Constrained Estimation
Many least-square problems involve affine equality and inequality constraints. Although there are a variety of methods for solving such problems, most statisticians find constrained estimation challenging. The current article proposes a new path-following algorithm for quadratic programming that rep...
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2013
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3772096/ https://ncbi.nlm.nih.gov/pubmed/24039382 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10618600.2012.681248 |
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