似然原理 [Likelihood Principle]

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定义: 似然原理表明，数据中包含的所有与推理相关的信息都由似然提供。该原理表明，似然函数可用于比较不同参数值的合理性。虽然贝叶斯主义者和似然论者都认同似然原理，但奈曼-皮尔逊（Neyman-Pearson）理论者（频率主义者）并不认同，因为他们的显著性检验会考虑似然之外的其他信息，这就违背了似然原理。

相关术语: Bayesian inference, Likelihood Function

参考文献:

  • Dienes, Z. (2008). Understanding psychology as a science: An introduction to scientific and statistical inference. Macmillan International Higher Education.
  • Geyer, C. J. (2003). Maximum Likelihood in R (pp. 1–9). Open Science Framework.
  • Geyer, C. J. (2007). Stat 5102 Notes: Maximum Likelihood (pp. 1–8). Open Science Framework.

原稿作者: Alaa Aldoh

审阅者: Sam Parsons, Flávio Azevedo

翻译者: AI-driven translation tool "TransFlow" (developed by Jinbiao Yang and COSN OpenTransfer team)

译稿审阅者: Xinyu Wang, Liangjie Chen, Ruoting Liu, Shuxian Jin