在极低误报错误率下改进推理的高阶渐近逼近

IF 1.2 4区数学 Q2 STATISTICS & PROBABILITY

Test Pub Date : 2023-07-14 DOI:10.1007/s11749-023-00873-y

Basitha K. Hewa Wellalage, I. Volobouev, A. Trindade

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

High-order asymptotic approximations for improved inference under exceptionally low false positive error rates

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High-order asymptotic approximations for improved inference under exceptionally low false positive error rates

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来源期刊

Test 数学-统计学与概率论

CiteScore

2.20

自引率

7.70%

发文量

审稿时长

>12 weeks

期刊介绍： TEST is an international journal of Statistics and Probability, sponsored by the Spanish Society of Statistics and Operations Research. English is the official language of the journal. The emphasis of TEST is placed on papers containing original theoretical contributions of direct or potential value in applications. In this respect, the methodological contents are considered to be crucial for the papers published in TEST, but the practical implications of the methodological aspects are also relevant. Original sound manuscripts on either well-established or emerging areas in the scope of the journal are welcome. One volume is published annually in four issues. In addition to the regular contributions, each issue of TEST contains an invited paper from a world-wide recognized outstanding statistician on an up-to-date challenging topic, including discussions.