Editorial: Evidential Statistics, Model Identification, and Science
Editorial: Evidential Statistics, Model Identification, and Science
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DOI：
10.3389/fevo.2022.883456
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发表时间：
2022-04
期刊：
影响因子：
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通讯作者：
M. Taper;J. M. Ponciano;Y. Toquenaga
中科院分区：
文献类型：
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作者：
M. Taper;J. M. Ponciano;Y. Toquenaga
我们开展这个研究课题有几个原因：首先向生态学家和进化生物学家推广和传播证据统计的思想和技术，以便他们的研究可以从证据思维带来的更加清晰的结果中受益。其次，鼓励统计学家思考他们自己的工作如何与这种解决统计基本问题的新兴方法相关联。
We have undertaken this Research Topic for several reasons: First to promote and disseminate the ideas and techniques of evidential statistics to ecologists and evolutionary biologists so that their research might benefit from the increased clarity that evidential thinking engenders. And, second to encourage statisticians to think how their own work relates to this emerging approach to the fundamental problems of statistics.