Simulation from non-standard distributions using envelope methods

  • Authors:
  • Michael J. Evans;Tim B. Swartz

  • Affiliations:
  • University of Toronto, Toronto, Ont M5S3G3, CANADA;Simon Fraser University, Burnaby, BC V5A1S6, CANADA

  • Venue:
  • Proceedings of the 32nd conference on Winter simulation
  • Year:
  • 2000

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Abstract

This paper considers the development of envelope methods as a tool for simulation. Envelope methods are based on the construction of simple envelopes to functions. The proposed envelopes are general, require little input from the user and are based on the concavity structure of the function or some transformation of the function. The construction of these envelopes facilitates variate generation using the adaptive rejection algorithm.