Approximations to the Renewal Function m(t),

Abstract

Models of queueing, inventory, reliability, etc., processes often have a useful process imbedded in the fundamental stochastic process. The number of renewals, N(t), is sufficient to determine a performance measure such as the total cost, shortages, etc. The limit theorems of renewal theory are unsatisfactory in obtaining the expected values of these performance measures over a finite time horizon. An accurate numerical technique for calculating m(t) = EN(t) is compared with an approximation that uses the asymptotic expansion by the dominating residues of the Laplace transform. Furthermore, when a parameter of the renewal process is uncertain but for its Bayesian prior distribution, an approximation that uses a modified exponential renewal process appears better. (Author)

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1970
Accession Number
AD0721265

Entities

People

  • David L. Jaquette

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Asymptotic Series
  • Inventory
  • Mathematical Analysis
  • Mathematics
  • Probability
  • Reliability
  • Stochastic Processes

Fields of Study

  • Mathematics

Readers

  • Calculus or Mathematical Analysis
  • Mathematical Modeling and Probability Theory.
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms