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University of Illinois at Urbana-Champaign

Exact Solution of Bayes and Minimax Change-Detection Problems

Abstract

dc:description

The challenge of detecting a change in the distribution of data is a sequential decision problem that is relevant to many engineering solutions, including quality control and machine and process monitoring. This dissertation develops techniques for exact solution of change-detection problems with discrete time and discrete observations.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Chemical Engineering
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Isom, Joshua D.
Contributors dc:contributor
  • Braatz, Richard D.

Subjects

dc:subject × 2

Identifiers

dc:identifier.*
Identifier
(UMI)AAI3362927
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/72137

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Isom, Joshua D.. Exact Solution of Bayes and Minimax Change-Detection Problems. Dissertation thesis, University of Illinois at Urbana-Champaign, 2014. http://hdl.handle.net/2142/72137