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A Simple Sequential Stopping Rule for Monte Carlo Simulation

Mendo Tomás, Luis and Hernando Rábanos, José María (2006) A Simple Sequential Stopping Rule for Monte Carlo Simulation. IEEE Transactions on Communications, 54 (2). pp. 231-241. ISSN 0090-6778

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Item Type:Article
Authors/Creators:
Creators NameCreators email (if known)
Mendo Tomás, Luislmendo@grc.ssr.upm.es
Hernando Rábanos, José María
Title:A Simple Sequential Stopping Rule for Monte Carlo Simulation
Journal/Publication Title:IEEE Transactions on Communications
Date:February 2006
Volume:54
Number:2
Department:Signals, Systems and Radiocommunications
Faculty:E.T.S.I. Telecommunication (UPM)
Creative Commons licenses:None
Item ID:4349
Subjects:Telecommunications
Mathematics

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Abstract

In this paper, a sequential stopping rule for the estimation of a probability p by means of Monte Carlo simulation is analyzed. It is shown that the proposed estimator is almost unbiased, and guarantees a given relative precision irrespective of p. Under very mild conditions, the method also guarantees a certain confidence level for a given relative estimation error, provided that p does not exceed a maximum value. An extension to importance sampling is discussed.

Item Type:Article
Uncontrolled Keywords:Simulation, Monte Carlo methods, sequential stopping rule, importance sampling
Subjects:Telecommunications
Mathematics
Código ID:4349
Depositado Por:Dr. Luis Mendo
Depositado el:23 Sep 2010 11:51
Last Modified:23 Sep 2010 11:51

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