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- W2015087173 abstract "Abstract Let X 1, X 2, …, Xn be independent random variables with common distribution function F, and let Y 1, Y 2, …, Ym be independent random variables with common distribution function G. Assume F and G are continuous and unknown. Consider the problem of testing H 0: F = G against H 1: F ≠ G. We propose a test based on the L 1 distance between density estimates for F and G. A simulation experiment is used to compare this statistic to others under both bootstrap and permutation resampling procedures. The well-known Kolmogorov–Smirnov test is also used for comparison. The L 1-distance method compares quite favorably." @default.
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- W2015087173 date "1997-05-01" @default.
- W2015087173 modified "2023-09-24" @default.
- W2015087173 title "Hypothesis Testing Using anL1-Distance Bootstrap" @default.
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- W2015087173 doi "https://doi.org/10.1080/00031305.1997.10473949" @default.
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