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Chernoff's distribution : ウィキペディア英語版
Chernoff's distribution
In probability theory, Chernoff's distribution, named after Herman Chernoff, is the probability distribution of the random variable
: Z =\underset}\ (W(s) - s^2),
where ''W'' is a "two-sided" Wiener process (or two-sided "Brownian motion") satisfying ''W''(0) = 0.
If
: V(a,c) = \underset} \ (W(s) - c(s-a)^2),
then ''V''(0, ''c'') has density
: f_c(t) = \frac g_c(t) g_c(-t)
where ''g''''c'' has Fourier transform given by
: \hat_c (s) = \frac (i (2c^2)^ s)}, \ \ \ s \in \mathbf
and where Ai is the Airy function. Thus ''f''''c'' is symmetric about 0 and the density ''ƒ''''Z'' = ''ƒ''1. Groeneboom (1989) shows that
: f_Z (z) \sim \frac \frac_1)} \exp \left( - \frac |z|^3 + 2^ \tilde_1 |z| \right)
\textz \rightarrow \infty

where \tilde_1 \approx -2.3381 is the largest zero of the Airy function Ai and where \operatorname' (\tilde_1 ) \approx 0.7022.
== References ==

*
*
* Piet Groeneboom (1985). Estimating a monotone density. In: Le Cam, L.E., Olshen, R. A. (eds.), Proceedings of the Berkeley conference in honor of Jerzy Neyman and Jack Kiefer, vol. II, pp. 539–555. Wadsworth.


抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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