Timeline for Convergence of a test statistic
Current License: CC BY-SA 3.0
8 events
when toggle format | what | by | license | comment | |
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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
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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
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Oct 28, 2015 at 12:51 | history | answered | Iosif Pinelis | CC BY-SA 3.0 |