当前位置: X-MOL 学术J. R. Stat. Soc. A › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Testing by betting: A strategy for statistical and scientific communication
The Journal of the Royal Statistical Society, Series A (Statistics in Society) ( IF 2 ) Pub Date : 2021-05-05 , DOI: 10.1111/rssa.12647
Glenn Shafer 1
Affiliation  

The most widely used concept of statistical inference—the p‐value—is too complicated for effective communication to a wide audience. This paper introduces a simpler way of reporting statistical evidence: report the outcome of a bet against the null hypothesis. This leads to a new role for likelihood, to alternatives to power and confidence, and to a framework for meta‐analysis that accommodates both planned and opportunistic testing of statistical hypotheses and probabilistic forecasts. This framework builds on the foundation for mathematical probability developed in previous work by Vladimir Vovk and myself.

中文翻译:

投注测试:统计和科学交流的策略

统计推断的最广泛使用的概念(p值)过于复杂,无法与广大受众进行有效沟通。本文介绍了一种简单的报告统计证据的方法:报告针对原假设的下注结果。这导致了可能性的新角色,权力和信心的替代品以及荟萃分析的框架,该框架可容纳对统计假设和概率预测的计划检验和机会检验。该框架基于弗拉基米尔·沃夫克(Vladimir Vovk)和我本人在先前工作中开发的数学概率基础。
更新日期:2021-05-05
down
wechat
bug