Comparison of approaches for local testing with functional test statistics

IF 1.1 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Statistical Computation and Simulation Pub Date : 2024-09-11 DOI:10.1080/00949655.2024.2396992
Tomáš Mrkvička, Mari Myllymäki
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Abstract

Several new methods have been recently developed for the problem of domain selection when the test statistic is functional. That is, the aim is to distinguish between the two domains where the test...
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利用功能测试统计进行局部测试的方法比较
最近,针对检验统计量为函数式时的领域选择问题开发了几种新方法。也就是说,我们的目标是区分检验统计量是功能统计量的两个领域。
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来源期刊
Journal of Statistical Computation and Simulation
Journal of Statistical Computation and Simulation 数学-计算机:跨学科应用
CiteScore
2.30
自引率
8.30%
发文量
156
审稿时长
4-8 weeks
期刊介绍: Journal of Statistical Computation and Simulation ( JSCS ) publishes significant and original work in areas of statistics which are related to or dependent upon the computer. Fields covered include computer algorithms related to probability or statistics, studies in statistical inference by means of simulation techniques, and implementation of interactive statistical systems. JSCS does not consider applications of statistics to other fields, except as illustrations of the use of the original statistics presented. Accepted papers should ideally appeal to a wide audience of statisticians and provoke real applications of theoretical constructions.
期刊最新文献
Multivariate normality tests with two-step monotone missing data: a critical review with emphasis on the different methods of handling missing values Improved Liu-ridge-type estimates for the beta regression model Variable selection and estimation for recurrent event model with covariates subject to measurement error Comparison of approaches for local testing with functional test statistics Depth for samples of sets with applications to testing equality in distribution of two samples of random sets
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