Weak convergence of a two-sample empirical process and a Chernoff-Savage theorem for \(\varphi\)-mixing sequences
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Publication:1844028
DOI10.1214/aos/1176342721zbMath0282.62016OpenAlexW1990666210MaRDI QIDQ1844028
Publication date: 1974
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/aos/1176342721
Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Central limit and other weak theorems (60F05)
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Weak convergence of the serial linear rank statistic with unbounded scores and regression constants under mixing conditions ⋮ The space \(\tilde D_ k\) land weak convergence for the rectangle-indexed processes under mixing ⋮ Weak convergence of multidimensional rank statistics under \(\phi\)-mixing conditions ⋮ Weak convergence of the linear rank statistics under strong mixing conditions ⋮ On the Chernoff-Savage theorem for dependent sequences ⋮ On quantile processes for m-dependent Rv's ⋮ Asymptotic normality of two-sample linear rank statistics under association
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