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Timeline for Convergence of a test statistic

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Oct 29, 2015 at 3:48 comment added Iosif Pinelis I have corrected the calculation of the limit displacement.
Oct 29, 2015 at 3:47 comment added Iosif Pinelis On the other hand, if e.g. $h_n\sqrt n\to\infty$ (and still $k^*/n\to\kappa\in(0,1)$), then the alternative limit distribution does not exist -- the entire probability mass is being swept away out of the containing space $D[0,1]$, that is, the probability distribution weakly converges to the zero measure on $D[0,1]$. So, in this case the hypotheses $H_0$ and $H_1$ are asymptotically mutually singular and thus highly distinguishable.
Oct 29, 2015 at 3:47 comment added Iosif Pinelis The full alternative is too broad for one to be able to say something definite about the asymptotics of the distribution. However, if e.g. $h_n\sqrt n\to 0$, then the "alternative" limit distribution is the same as the "null" one (namely, that of the Brownian bridge). So, in this case the hypotheses $H_0$ and $H_1$ are asymptotically indistinguishable.
Oct 29, 2015 at 3:46 history edited Iosif Pinelis CC BY-SA 3.0
corrected the calculation of the limit displacement
Oct 28, 2015 at 14:53 comment added bursttim So it diverges, in general?
Oct 28, 2015 at 13:11 vote accept bursttim
Oct 28, 2015 at 13:08 history edited Iosif Pinelis CC BY-SA 3.0
corrected the scaling
Oct 28, 2015 at 12:51 history answered Iosif Pinelis CC BY-SA 3.0