Random weighting method for M-test in linear model with dependent errors
Zhen Zeng,
Lin Cong and
Xiangdong Liu
Communications in Statistics - Theory and Methods, 2024, vol. 53, issue 4, 1381-1401
Abstract:
We study the random weighting method for M-test in a linear model with dependent errors. The asymptotic distribution of this test statistic is derived under some conditions. This article shows that the random weighting method can be used for deciding the critical value for the M-test regardless of whether the null hypothesis is true or not. Finally, the performance of these results is evaluated by a simulation study.
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:53:y:2024:i:4:p:1381-1401
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DOI: 10.1080/03610926.2022.2101119
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