Test statistics and p-values. / Gurevich, Yuri; Vovk, Vladimir.

Proceedings of Machine Learning Research. ed. / Alex Gammerman; Vladimir Vovk; Zhiyuan Luo; Evgueni Smirnov. Vol. 105 2019. p. 89-104.

Research output: Chapter in Book/Report/Conference proceedingChapter

Published

Standard

Test statistics and p-values. / Gurevich, Yuri; Vovk, Vladimir.

Proceedings of Machine Learning Research. ed. / Alex Gammerman; Vladimir Vovk; Zhiyuan Luo; Evgueni Smirnov. Vol. 105 2019. p. 89-104.

Research output: Chapter in Book/Report/Conference proceedingChapter

Harvard

Gurevich, Y & Vovk, V 2019, Test statistics and p-values. in A Gammerman, V Vovk, Z Luo & E Smirnov (eds), Proceedings of Machine Learning Research. vol. 105, pp. 89-104.

APA

Gurevich, Y., & Vovk, V. (2019). Test statistics and p-values. In A. Gammerman, V. Vovk, Z. Luo, & E. Smirnov (Eds.), Proceedings of Machine Learning Research (Vol. 105, pp. 89-104)

Vancouver

Gurevich Y, Vovk V. Test statistics and p-values. In Gammerman A, Vovk V, Luo Z, Smirnov E, editors, Proceedings of Machine Learning Research. Vol. 105. 2019. p. 89-104

Author

Gurevich, Yuri ; Vovk, Vladimir. / Test statistics and p-values. Proceedings of Machine Learning Research. editor / Alex Gammerman ; Vladimir Vovk ; Zhiyuan Luo ; Evgueni Smirnov. Vol. 105 2019. pp. 89-104

BibTeX

@inbook{2964d5e35793485fb5a4f8cf3c68a9a6,
title = "Test statistics and p-values",
abstract = "We point out that the traditional notion of test statistic is too narrow, even for the purpose of conformal prediction. The most natural generalization of the traditional notion happens to be too wide. We propose another natural generalization which is arguably the widest reasonable generalization. The study is restricted to simple statistical hypotheses.",
keywords = "exact p-value, randomized p-value, test statistic, lexicographic order",
author = "Yuri Gurevich and Vladimir Vovk",
year = "2019",
month = "8",
day = "29",
language = "English",
volume = "105",
pages = "89--104",
editor = "Alex Gammerman and Vladimir Vovk and Zhiyuan Luo and Evgueni Smirnov",
booktitle = "Proceedings of Machine Learning Research",

}

RIS

TY - CHAP

T1 - Test statistics and p-values

AU - Gurevich, Yuri

AU - Vovk, Vladimir

PY - 2019/8/29

Y1 - 2019/8/29

N2 - We point out that the traditional notion of test statistic is too narrow, even for the purpose of conformal prediction. The most natural generalization of the traditional notion happens to be too wide. We propose another natural generalization which is arguably the widest reasonable generalization. The study is restricted to simple statistical hypotheses.

AB - We point out that the traditional notion of test statistic is too narrow, even for the purpose of conformal prediction. The most natural generalization of the traditional notion happens to be too wide. We propose another natural generalization which is arguably the widest reasonable generalization. The study is restricted to simple statistical hypotheses.

KW - exact p-value

KW - randomized p-value

KW - test statistic

KW - lexicographic order

M3 - Chapter

VL - 105

SP - 89

EP - 104

BT - Proceedings of Machine Learning Research

A2 - Gammerman, Alex

A2 - Vovk, Vladimir

A2 - Luo, Zhiyuan

A2 - Smirnov, Evgueni

ER -