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                                       Details for article 17 of 17 found articles
 
 
  The binary bootstrap: inference with autocorrelated binary data
 
 
Title: The binary bootstrap: inference with autocorrelated binary data
Author: Kim, Yun Bae
Haddock, Jorge.
Willemain, Thomas R.
Appeared in: Communications in statistics
Paging: Volume 22 (1993) nr. 1 pages 205-216
Year: 1993
Contents: We introduce the binary bootstrap for inference with autoconelated binary data. Weempirically evaluate the standard eirors and confidence intervals created with the binary bootstrap using four stochastic process with known results: Bernoulli trials, first-order Markov processes, and long customer delays in M/M/l and D/M/10 queues. The binary bootstrap has certain advantagesover the conventional batch means method for creating confidence intervals on the probability oflong delay using only one run of a discrete-event simulation
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 17 of 17 found articles
 
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