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Heteroscedastic nonlinear regression models based on scale mixtures of skew-normal distributions
An extension of some standard likelihood based procedures to heteroscedastic nonlinear regression models under scale mixtures of skew-normal (SMSN) distributions is developed. We derive a simple EM-type algorithm for iteratively computing maximum likelihood (ML) estimates and the observed informatio...
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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: |
2011
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3126155/ https://ncbi.nlm.nih.gov/pubmed/21731152 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.spl.2011.03.019 |
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