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| DOI | 10.1002/bimj.202300288 |
| Modeling tropical tuna shifts: An inflated power logit regression approach | |
| 发表日期 | 2024 |
| ISSN | 0323-3847 |
| EISSN | 1521-4036 |
| 起始页码 | 66 |
| 结束页码 | 4 |
| 卷号 | 66期号:4 |
| 英文摘要 | We introduce a new class of zero-or-one inflated power logit (IPL) regression models, which serve as a versatile tool for analyzing bounded continuous data with observations at a boundary. These models are applied to explore the effects of climate changes on the distribution of tropical tuna within the North Atlantic Ocean. Our findings suggest that our modeling approach is adequate and capable of handling the outliers in the data. It exhibited superior performance compared to rival models in both diagnostic analysis and regarding the inference robustness. We offer a user-friendly method for fitting IPL regression models in practical applications. |
| 英文关键词 | continuous proportions; fish migration; fractional data; global warming; power logit distributions |
| 语种 | 英语 |
| WOS研究方向 | Mathematical & Computational Biology ; Mathematics |
| WOS类目 | Mathematical & Computational Biology ; Statistics & Probability |
| WOS记录号 | WOS:001216018600001 |
| 来源期刊 | BIOMETRICAL JOURNAL
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/289837 |
| 作者单位 | Universidade de Sao Paulo |
| 推荐引用方式 GB/T 7714 | . Modeling tropical tuna shifts: An inflated power logit regression approach[J],2024,66(4). |
| APA | (2024).Modeling tropical tuna shifts: An inflated power logit regression approach.BIOMETRICAL JOURNAL,66(4). |
| MLA | "Modeling tropical tuna shifts: An inflated power logit regression approach".BIOMETRICAL JOURNAL 66.4(2024). |
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