Monte Carlo sampling is the other major approach to approximating g(s, T). Whereas all techniques of evaluation accumulate numerical error as the size of the ...
A Monte Carlo Sampling Plan for Estimating Network Reliability
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We also provide procedures for implementing these plans. Each plan uses known lower and upper bounds [B, A] on g to produce an estimator of g that has a smaller ...
This paper presents a relatively complete and comprehensive description of a general class of Monte Carlo sampling plans for estimating g gs,T, ...
[PDF] A Monte Carlo Sampling Plan for Estimating Network Reliability.
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A MONTE CARLO SAMPLING PLAN FOR ESTIMATING NETWORK RELIABILITY. 12. PERSONAL AUTHOR(S). George S. Fishman. 13. TYPE OF REPORT. 13b. TIME COVERED. 14 DATE OF ...
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This work presents a relatively complete and comprehensive description of a general class of Monte Carlo sampling plans for estimating g = gs, T, ...
This paper presents a relatively complete and comprehensive description of a general class of Monte Carlo sampling plans for estimating g = g(s,T), the ...
We also show how to assess the credibility that a specified error criterion for g is met as the Monte Carlo experiment progresses, and show how confidence ...
A monte carlo sampling plan for estimating reliability parameters and related functions ... An example based on a network with 44 nodes and 85 arcs illustrates ...
We also show how to assess the credibility that a specified error criterion for g is met as the Monte Carlo experiment progresses, and show how confidence ...
This paper presents a relatively complete and comprehensive description of a general class of Monte Carlo sampling plans for estimating g = g(s,T), ...