Title :
Improved sequential stopping rule for Monte Carlo simulation
Author :
Mendo, Luis ; Hernando, José M.
Author_Institution :
Syst. & Radio Commun. Dept., Polytech. Univ. of Madrid, Madrid
fDate :
11/1/2008 12:00:00 AM
Abstract :
This letter presents an improved result on the negative-binomial Monte Carlo technique analyzed in a previous paper (see IEEE Trans. Commun., vol.54, no.2,pp. 231-41, Feb. 2006) for the estimation of an unknown probability p. Specifically, the confidence level associated to a relative interval [p/mu 2, pmu 1], with mu 1, mu 2 > 1, is proved to exceed its asymptotic value for a broader range of intervals than that given in the referred paper, and for any value of p. This extends the applicability of the estimator, relaxing the conditions that guarantee a given confidence level.
Keywords :
Monte Carlo methods; probability; Monte Carlo simulation; asymptotic value; negative-binomial Monte Carlo technique; probability; relative interval; sequential stopping rule; Communications Society; Monte Carlo methods; Parameter estimation; Radio communication; Sufficient conditions; System performance; Monte Carlo methods; Simulation; sequential stopping rule;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2008.070015