A Diffusion Process and Its Application to Detecting a Change in the Drift of Brownian Motion.

Abstract

The purpose of the present paper is to make a quantitative comparison of the Shiryayev-Roberts and Page procedures. We do this in the context of continuous time in order to use the machinery of diffusion processes to perform explicitly certain calculations, which seem impossible in discrete time. Although the continuous time results are not especially good approximations to the corresponding quantities in discrete time, they provide very useful comparative information on which to base selection of a stopping rule. This paper is organized as follows. The Shiryayev-Roberts process is defined and shown to be a novel diffusion process with some surprising properties. We also specify more precisely the basis for our comparison of the two procedures and give the results of some elementary calculations. These developments contain an asymptotic evaluation. We define a modification of our basic procedure and give an asymptotic evaluation of its average run length. Numerical comparisons and a discussion of their significance are contained next. Our conclusions are roughly these. In simple situations where the two procedures can be directly compared, neither seems dramatically superior to the other. However, the Shiryayev-Roberts procedure is more easily adapted to complex circumstances and consequently warrants additional study.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1984
Accession Number
ADA150096

Entities

People

  • David Siegmund
  • Martin R. Pollak

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Brownian Motion
  • Detection
  • Diffusion
  • Diffusion Theory
  • False Alarms
  • Markov Processes
  • Military Research
  • Probability
  • Random Variables
  • Sequential Analysis
  • Standards
  • Statistics
  • Stochastic Processes
  • Test And Evaluation
  • United States
  • United States Government
  • Warning Systems

Fields of Study

  • Mathematics

Readers

  • Aerodynamics.
  • Plasma Physics / Magnetohydrodynamics
  • Regression Analysis.