Estimating Critical Path and Arc Probabilities in Stochastic Activity Networks.

Abstract

This paper describes a new procedure for estimating parameters of a stochastic activity network of N arcs. The parameters include the probability that path m is the longest path, the probability that path m is the shortest path, the probability that arc i is on the longest path and the probability that arc i is on the shortest path.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1983
Accession Number
ADA134255

Entities

People

  • George S. Fishman

Organizations

  • University of North Carolina at Chapel Hill

Tags

DTIC Thesaurus Topics

  • Computations
  • Convergence
  • Costs
  • Data Science
  • Distribution Functions
  • Errors
  • Estimators
  • Experimental Design
  • Integrals
  • Monte Carlo Method
  • North Carolina
  • Probability
  • Random Variables
  • Sampling
  • Sequences
  • Statistical Sampling
  • United States

Readers

  • Mathematical Modeling and Probability Theory.
  • Regression Analysis.
  • Tribology (the study of the boundary interaction between sliding surfaces, lubrication, wear and friction).