Neyman–Pearsonn.

Brit.

/ˌnɛɪmən ˈpɪəsn/, U.S.

/ˈnɛɪmən ˈpɪrs(ə)n/

Origin: From proper names. Etymons: proper names Neyman, Pearson.

Etymology: < the names of Jerzy Neyman (1894–1981), U.S. statistician, and Egon Sharpe Pearson (1895–1980), British statistician.Jerzy Neyman was born into a Polish family living in Moldavia. He taught in Ukraine and Poland before settling in the United States. The test is described by J. Neyman and E. S. Pearson in Biometrika 20A (1928) 175–240.

Statistics.

attributive. Designating or relating to the work of Neyman and Pearson on the testing of statistical hypotheses; spec. designating: (a) a likelihood ratio test of a simple null hypothesis against a simple alternative; (b) the theorem that this test achieves the maximum probability of correctly accepting or rejecting the null hypothesis.

ΚΠ

1931 Biometrika 22 269 It may be of interest..to exhibit a further example of the use of the Neyman-Pearson test as given by them on p. 206 of their paper cited above.

1944 Ann. Math. Statistics 15 327 We shall call this turnabout of the usual process the reversed Neyman–Pearson principle.

1957 M. G. Kendall & W. R. Buckland Dict. Statist. Terms 197 It is the concept of the power function coupled with that of the two kinds of errors that form the principal features of the Neyman-Pearson theory.

1962 Jrnl. Royal Statist. Soc. B. 24 407 The Neyman–Pearson lemma is applied to find, if available, a uniformly most powerful test.

1965 Math. in Biol. & Med. (Med. Res. Council) iii. 118 Significance tests for composite hypotheses. Here the Neyman–Pearson likelihood-ratio test is often used.

1972 A. W. F. Edwards Likelihood ix. 176 Just as support is Bayesian inference without the priors, so it turns out to be Neyman–Pearson inference without the ‘errors’.

1991 Univ. Maryland Graduate School Catal. 1991–3 108/1 Maximum likelihood and moment estimates. The Neyman–Pearson approach.

This is a new entry (OED Third Edition, September 2003; most recently modified version published online March 2022).

单词	neyman–pearson
释义	Neyman–Pearsonn. Brit. /ˌnɛɪmən ˈpɪəsn/, U.S. /ˈnɛɪmən ˈpɪrs(ə)n/ Origin: From proper names. Etymons: proper names Neyman, Pearson. Etymology: < the names of Jerzy Neyman (1894–1981), U.S. statistician, and Egon Sharpe Pearson (1895–1980), British statistician.Jerzy Neyman was born into a Polish family living in Moldavia. He taught in Ukraine and Poland before settling in the United States. The test is described by J. Neyman and E. S. Pearson in Biometrika 20A (1928) 175–240. Statistics. attributive. Designating or relating to the work of Neyman and Pearson on the testing of statistical hypotheses; spec. designating: (a) a likelihood ratio test of a simple null hypothesis against a simple alternative; (b) the theorem that this test achieves the maximum probability of correctly accepting or rejecting the null hypothesis. ΚΠ 1931 Biometrika 22 269 It may be of interest..to exhibit a further example of the use of the Neyman-Pearson test as given by them on p. 206 of their paper cited above. 1944 Ann. Math. Statistics 15 327 We shall call this turnabout of the usual process the reversed Neyman–Pearson principle. 1957 M. G. Kendall & W. R. Buckland Dict. Statist. Terms 197 It is the concept of the power function coupled with that of the two kinds of errors that form the principal features of the Neyman-Pearson theory. 1962 Jrnl. Royal Statist. Soc. B. 24 407 The Neyman–Pearson lemma is applied to find, if available, a uniformly most powerful test. 1965 Math. in Biol. & Med. (Med. Res. Council) iii. 118 Significance tests for composite hypotheses. Here the Neyman–Pearson likelihood-ratio test is often used. 1972 A. W. F. Edwards Likelihood ix. 176 Just as support is Bayesian inference without the priors, so it turns out to be Neyman–Pearson inference without the ‘errors’. 1991 Univ. Maryland Graduate School Catal. 1991–3 108/1 Maximum likelihood and moment estimates. The Neyman–Pearson approach. This is a new entry (OED Third Edition, September 2003; most recently modified version published online March 2022). < n.1931
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