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In probability theory, Chernoff's distribution, named after Herman Chernoff, is the probability distribution of the random variable : where ''W'' is a "two-sided" Wiener process (or two-sided "Brownian motion") satisfying ''W''(0) = 0. If : then ''V''(0, ''c'') has density : where ''g''''c'' has Fourier transform given by : 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 : where is the largest zero of the Airy function Ai and where . == 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)』 ■ウィキペディアで「Chernoff's distribution」の詳細全文を読む スポンサード リンク
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