Significance test for linear regression: how to test without P-values?
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2020.1748180
Abstract: The discussion on the use and misuse of p-values in 2016 by the American Statistician Association was a timely assertion that statistical concept should be properly used in science. Some researchers, especially the economists, who… read more here.
Keywords: significance test; null hypothesis; test linear; value ... See more keywords
M-test in linear models with negatively superadditive dependent errors
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DOI: 10.1186/s13660-017-1509-6
Abstract: This paper is concerned with the testing hypotheses of regression parameters in linear models in which errors are negatively superadditive dependent (NSD). A robust M-test base on M-criterion is proposed. The asymptotic distribution of the… read more here.
Keywords: dependent errors; negatively superadditive; test linear; models negatively ... See more keywords
A test on linear hypothesis of $k$-sample means in high-dimensional data
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DOI: 10.4310/sii.2020.v13.n1.a3
Abstract: In this paper, a new test procedure is proposed to test a linear hypothesis of k-sample mean vectors in highdimensional normal models with heteroskedasticity. The motivation is on the basis of the generalized likelihood ratio… read more here.
Keywords: linear hypothesis; test linear; hypothesis sample; test ... See more keywords