Unverified50% confidenceFactExact time
The Neyman-Pearson lemma, proposed by Neyman and Pearson in 1933, proves that the likelihood ratio test is the most statistically powerful test under the constraint of a given significance level α
1
Sources
50%
Confidence
Long-term
Relevance
9/3/2026
First Seen
Sources
Related Entities
Related Claims
Unverified置换检验是一种非参数统计推断方法，由罗纳德·费雪在20世纪30年代奠定理论基础67% similarUnverified可变比率强化原理由心理学家B.F. Skinner在20世纪30年代的操作条件反射实验中通过斯金纳箱实验发现63% similarUnverifiedWilcoxon符号秩检验是由Frank Wilcoxon于1945年提出的非参数统计方法，用于比较配对样本之间的差异，不要求数据服从正态分布60% similarUnverifiedThe Nyquist–Shannon sampling theorem, articulated by Harry Nyquist in 1928 and Claude Shannon in 1949, states that the sampling frequency for perfect reconstruction of a band-limited continuous signal must be at least twice the highest frequency of the signal.59% similarUnverifiedMaximum likelihood estimation was systematically developed by Ronald Fisher in the 1920s and, under regularity conditions, possesses consistency, asymptotic normality, and asymptotic efficiency.57% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/851290API
curl https://kongchang.com/api/v1/knowledge/claims/851290MCP
get_claim(id=851290)