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  • © 1998

Markov Set-Chains

Part of the book series: Lecture Notes in Mathematics (LNM, volume 1695)

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Table of contents (5 chapters)

  1. Front Matter

    Pages I-VIII
  2. Introduction

    • Darald J. Hartfiel
    Pages 1-2
  3. Stochastic matrices and their variants

    • Darald J. Hartfiel
    Pages 3-25
  4. Introduction to Markov set-chains

    • Darald J. Hartfiel
    Pages 27-57
  5. Convergence of Markov set-chains

    • Darald J. Hartfiel
    Pages 59-89
  6. Behavior in Markov set-chains

    • Darald J. Hartfiel
    Pages 91-113
  7. Back Matter

    Pages 115-132

About this book

In this study extending classical Markov chain theory to handle fluctuating transition matrices, the author develops a theory of Markov set-chains and provides numerous examples showing how that theory can be applied. Chapters are concluded with a discussion of related research. Readers who can benefit from this monograph are those interested in, or involved with, systems whose data is imprecise or that fluctuate with time. A background equivalent to a course in linear algebra and one in probability theory should be sufficient.

Keywords

  • Markov chain
  • Markov chains
  • Probability theory
  • algebra
  • ergodic theory
  • fluctuating data
  • linear algebra
  • non-homogeneous Markov chains
  • matrix theory

Bibliographic Information

Buying options

eBook USD 29.99
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 39.95
Price excludes VAT (Canada)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions