Skip to main content
  • 1631 Accesses

Abstract

In this chapter, we provide the UL- and LU-types of RG-factorizations for the transition probability mass matrix of any irreducible Markov renewal process in terms of the censoring technique. Specifically, we deal with Markov renewal processes of GI/G/1 type, including the RG-factorization, the RG-factorization for the repeated blocks, the spectral analysis and the first passage time.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 169.00
Price excludes VAT (USA)
  • Durable hardcover 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Asmussen S. (1987). Applied Probability and Queues, John Wiley & Sons

    Google Scholar 

  2. Asmussen S. (2003). Applied Probability and Queues (Second Edition), Springer

    Google Scholar 

  3. Asmussen S. and V, Ramaswami (1990). Probabilistic interpretations of some duality results for the matrix paradigms in queueing theory. Stochastic Models 6: 715–733

    Article  MATH  Google Scholar 

  4. Ball F. and R.K Milne (2005). Simple derivations of properties of counting processes associated with Markov renewal processes. Journal of Applied Probability 42: 1031–1043

    Article  MATH  MathSciNet  Google Scholar 

  5. çinlar E. (1968). Some joint distributions for Markov renewal processes. The Australian Journal of Statistics 10: 8–20

    Article  MATH  MathSciNet  Google Scholar 

  6. çinlar E. (1969). Markov renewal processes. Advances in Applied Probability 1: 123–187

    Article  MATH  MathSciNet  Google Scholar 

  7. çinlar E. (1974). Periodicity in Markov renewal processes. Advances in Applied Probability 6: 61–78

    Article  MATH  MathSciNet  Google Scholar 

  8. Çinclar E. (1975). Introduction to Stochastic Processes, Prentice-Hall

    Google Scholar 

  9. Hsu G.H., X. Yuan and Q.L. Li (2000). First passage times for Markov renewal processes and application. Science in China (Series A) 43: 1238–1249

    Article  MATH  Google Scholar 

  10. Johnson M.A., D. Liu and S. Narayana (1997). Burstiness descriptors for Markov renewal processes and Markovian arrival processes. Stochastic Models 13: 619–646

    Article  MATH  Google Scholar 

  11. Hunter J.J. (1969). On the moments of Markov renewal processes. Advances in Applied Probability 1: 188–210

    Article  MATH  MathSciNet  Google Scholar 

  12. Lam C.T. (1993). Superposition of Markov renewal processes and applications. Advances in Applied Probability 25: 585–606

    Article  MATH  MathSciNet  Google Scholar 

  13. Li Q.L. and Y.Q. Zhao (2002). The RG-factorizations in block-structured Markov renewal processes with applications. Technical Report 381, Laboratory for Research in Statistics and Probability, Carleton University and University of Ottawa, Canada, 1–40

    Google Scholar 

  14. Li Q.L. and Y.Q. Zhao (2004). The RG-factorization in block-structured Markov renewal processes with applications. In Observation, Theory and Modeling of Atmospheric Variability, X. Zhu (ed), World Scientific, 545–568

    Google Scholar 

  15. Malinovskii V.K. (1991). Large deviations for recurrent Markov renewal processes. Theory of Probability and its Applications 36: 170–173

    Article  MathSciNet  Google Scholar 

  16. Neuts M.F. (1981). Matrix-Geometric Solutions in Stochastic Models-An Algorithmic Approach, The Johns Hopkins University Press: Baltimore

    MATH  Google Scholar 

  17. Neuts M.F. (1989). Structured Stochastic Matrices of M/G/1 Type and Their Applications, Marcel Dekker: New York

    MATH  Google Scholar 

  18. Neuts M.F. (1995). Matrix-analytic methods in stochastic models. In Advances in Queueing: Theory, Methods and Open Problems, J. Dhashalow (ed), CRC Press: Boca Raton, Florida, 265–292

    Google Scholar 

  19. Pyke R. (1961). Markov renewal processes: definitions and preliminary properties. Annals of Mathematical Statistics 32: 1231–1242

    Article  MATH  MathSciNet  Google Scholar 

  20. Pyke R. (1961) Markov renewal processes with finitely many states. Annals of Mathematical Statistics 32: 1243–1259

    Article  MATH  MathSciNet  Google Scholar 

  21. Pyke R. (1964). Markov renewal processes with infinitely many states. Annals of Mathematical Statistics 35: 1746–1764

    Article  MATH  MathSciNet  Google Scholar 

  22. Pyke R. and R. Schaufele (1964). Limit theorems for Markov renewal processes. Annals of Mathematical Statistics 35: 1746–1764

    Article  MATH  MathSciNet  Google Scholar 

  23. Pyke R. and R. Schaufele (1966). The existence and uniqueness of stationary measures for Markov renewal processes. Annals of Mathematical Statistics 37: 1439–1462

    Article  MATH  MathSciNet  Google Scholar 

  24. Ramaswami V. (1990). A duality theorem for the matrix paradigms in queueing theory. Stochastic Models 6: 151–161

    Article  MATH  MathSciNet  Google Scholar 

  25. Ramaswami V. (1990). From the matrix-geometric to the matrix-exponential. Queueing Systems 6: 229–260

    Article  MATH  MathSciNet  Google Scholar 

  26. Rossetti M.D. and G.M. Clark (1999). Moment solutions for the state exiting counting processes of a Markov renewal process. Methodology and Computing in Applied Probability 1: 247–275

    Article  MATH  MathSciNet  Google Scholar 

  27. Sengupta B. (1989). Markov processes whose steady state distribution is matrix-exponential with an application to GI/PH/1 queue. Advances in Applied Probability 21: 159–180

    Article  MATH  MathSciNet  Google Scholar 

  28. Teugels J.L. (1968). Exponential ergodicity in Markov renewal processes. Journal of Applied Probability 5: 387–400

    Article  MATH  MathSciNet  Google Scholar 

  29. Todorovic P. and J. Gani (1989). A Markov renewal process imbedded in a Markov chain. Stochastic Analysis and Applications 7: 339–353

    Article  MATH  MathSciNet  Google Scholar 

  30. Vesilo R.A. (2004). Long-range dependence of Markov renewal processes. Festschrift in honour of Daryl Daley. Australian & New Zealand Journal of Statistics 46: 155–171

    Article  MATH  MathSciNet  Google Scholar 

  31. Zhao Y.Q., W. Li and A.S. Alfa (1999). Duality results for block-structured transition matrices. Journal of Applied Probability, 36: 1045–1057

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Tsinghua University Press, Beijing and Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Li, QL. (2010). Block-Structured Markov Renewal Processes. In: Constructive Computation in Stochastic Models with Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11492-2_6

Download citation

Publish with us

Policies and ethics