J Austral Math Soc Ser A 58 pp47--53, 1995.
(Received 19 October 1990; revised 18 March 1992)
A recursive resampling method is discussed in this paper. Let X1, X2, ..., Xn be i.i.d. random variables with distribution function F and construct the empirical distribution function Fn. A new sample Xn + 1 is drawn from Fn and the new empirical distribution function ~Fn + 1 in the wide sense, is computed from X1, X2, ..., Xn, Xn + 1. Then Xn + 2 is drawn from ~Fn + 1 and ~Fn + 2 is obtained. In this way, Xn + m and ~Fn + m are found. It will be proved that ~Fn + m converges to a random variable almost surely as m goes to infinity and the limiting distribution is a compound beta distribution. In comparison with the usual non-recursive bootstrap, the main advantage of this procedure is a redirection in unconditional variance.
1991 AMS Subject Classification: 60G50, 60F15
Last Modified: Thu Jan 9 9:04:23 2003