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Sep 28, 2019 at 0:01 history tweeted twitter.com/StackStats/status/1177734927858765825
Sep 27, 2019 at 19:58 answer added Josh timeline score: 1
Sep 27, 2019 at 19:53 comment added Josh You should get a new p-value every time under the null. The p-values should be uniformly distributed under the null.
Sep 27, 2019 at 18:50 history edited user14717 CC BY-SA 4.0
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Sep 27, 2019 at 17:33 history edited user14717 CC BY-SA 4.0
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Sep 27, 2019 at 17:01 comment added Josh This argument seems to assume independence among the terms in sum. F_n(x_i) and F_n(X_j) are dependent. Also the simulation you provided was over a the null hypothesis. It will in that case, converge to a distribution with quantiles 0.576 (85%) 0.656 (90%) 0.787 (95%) 0.918 (97.5%) 1.092 (99%)
Sep 27, 2019 at 17:01 history edited user14717 CC BY-SA 4.0
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Sep 27, 2019 at 16:45 history edited user14717 CC BY-SA 4.0
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Sep 27, 2019 at 14:19 history edited user14717 CC BY-SA 4.0
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Sep 27, 2019 at 12:50 history asked user14717 CC BY-SA 4.0