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There are 120177 results for: content related to: Semi-Markov Processes

  1. Flowgraph Models for Queuing Systems

    Flowgraph Models for Multistate Time-to-Event Data

    Aparna V. Huzurbazar, Pages: 206–246, 2004

    Published Online : 17 NOV 2004, DOI: 10.1002/0471686565.ch9

  2. Incomplete Data

    Flowgraph Models for Multistate Time-to-Event Data

    Aparna V. Huzurbazar, Pages: 187–205, 2004

    Published Online : 17 NOV 2004, DOI: 10.1002/0471686565.ch8

  3. Flowgraph Models

    Flowgraph Models for Multistate Time-to-Event Data

    Aparna V. Huzurbazar, Pages: 10–42, 2004

    Published Online : 17 NOV 2004, DOI: 10.1002/0471686565.ch2

  4. Analysis of censored and incomplete survival data using flowgraph models

    Statistics in Medicine

    Volume 21, Issue 23, 15 December 2002, Pages: 3727–3743, C. Lillian Yau and Aparna V. Huzurbazar

    Version of Record online : 11 NOV 2002, DOI: 10.1002/sim.1237

  5. Flowgraph Models for Generalized Phase Type Distributions Having Non-Exponential Waiting Times

    Scandinavian Journal of Statistics

    Volume 26, Issue 1, March 1999, Pages: 145–157, Aparna V. Huzurbazar

    Version of Record online : 21 APR 2002, DOI: 10.1111/1467-9469.00142

  6. Semi-Markov Models

    Introduction to Stochastic Models

    Marius Iosifescu, Nikolaos Limnios, Gheorghe Oprişan, Pages: 189–225, 2013

    Published Online : 23 APR 2013, DOI: 10.1002/9781118623220.ch5

  7. Representation of a Semi-Markov Process as a Transformed Markov Process

    Continuous Semi-Markov Processes

    Boris Harlamov, Pages: 299–323, 2010

    Published Online : 27 JAN 2010, DOI: 10.1002/9780470610923.ch8

  8. Semi-Markov Models with Phase-Type Sojourn Distributions

    Biometrics

    Volume 66, Issue 3, September 2010, Pages: 742–752, Andrew C. Titman and Linda D. Sharples

    Version of Record online : 13 NOV 2009, DOI: 10.1111/j.1541-0420.2009.01339.x

  9. Multi-state Stochastic Processes: A Statistical Flowgraph Perspective

    International Statistical Review

    Volume 81, Issue 1, April 2013, Pages: 78–106, David H. Collins and Aparna V. Huzurbazar

    Version of Record online : 31 JAN 2013, DOI: 10.1111/j.1751-5823.2012.00193.x

  10. Multistate Models and Flowgraph Models

    Flowgraph Models for Multistate Time-to-Event Data

    Aparna V. Huzurbazar, Pages: 1–9, 2004

    Published Online : 17 NOV 2004, DOI: 10.1002/0471686565.ch1

  11. Estimation with right-censored observations under a semi-Markov model

    Canadian Journal of Statistics

    Volume 41, Issue 2, June 2013, Pages: 237–256, Lihui Zhao and X. Joan Hu

    Version of Record online : 1 MAR 2013, DOI: 10.1002/cjs.11176

  12. You have free access to this content
    Frontmatter

    Continuous Semi-Markov Processes

    Boris Harlamov, Pages: 1–15, 2010

    Published Online : 27 JAN 2010, DOI: 10.1002/9780470610923.fmatter

  13. General Semi-Markov Processes

    Continuous Semi-Markov Processes

    Boris Harlamov, Pages: 71–113, 2010

    Published Online : 27 JAN 2010, DOI: 10.1002/9780470610923.ch3

  14. Markov and Semi-Markov Switching Linear Mixed Models Used to Identify Forest Tree Growth Components

    Biometrics

    Volume 66, Issue 3, September 2010, Pages: 753–762, Florence Chaubert-Pereira, Yann Guédon, Christian Lavergne and Catherine Trottier

    Version of Record online : 13 NOV 2009, DOI: 10.1111/j.1541-0420.2009.01338.x

  15. Time Change and Semi-Markov Processes

    Continuous Semi-Markov Processes

    Boris Harlamov, Pages: 197–280, 2010

    Published Online : 27 JAN 2010, DOI: 10.1002/9780470610923.ch6

  16. Semi-Markov Processes of Diffusion Type

    Continuous Semi-Markov Processes

    Boris Harlamov, Pages: 137–196, 2010

    Published Online : 27 JAN 2010, DOI: 10.1002/9780470610923.ch5

  17. Future pricing through homogeneous semi-Markov processes

    Applied Stochastic Models in Business and Industry

    Volume 21, Issue 3, May/June 2005, Pages: 241–249, Giuseppe Di Biase, Jacques Janssen and Raimondo Manca

    Version of Record online : 1 JUN 2005, DOI: 10.1002/asmb.597

  18. You have free access to this content
    Hidden semi-Markov models reveal multiphasic movement of the endangered Florida panther

    Journal of Animal Ecology

    Volume 84, Issue 2, March 2015, Pages: 576–585, Madelon van de Kerk, David P. Onorato, Marc A. Criffield, Benjamin M. Bolker, Ben C. Augustine, Scott A. McKinley and Madan K. Oli

    Version of Record online : 20 OCT 2014, DOI: 10.1111/1365-2656.12290

  19. Integrating Neural Networks and Semi-Markov Processes for Automated Knowledge Acquisition: An Application to Real-time Scheduling

    Decision Sciences

    Volume 23, Issue 6, November 1992, Pages: 1297–1314, Ting-Peng Liang, Herbert Moskowitz and Yuehwern Yih

    Version of Record online : 7 JUN 2007, DOI: 10.1111/j.1540-5915.1992.tb00450.x

  20. Semi-Markov Chains and Hidden Semi-Markov Models toward Applications: Their Use in Reliability and DNA Analysis by BARBU, V. S. and LIMNIOS, N.

    Biometrics

    Volume 65, Issue 4, December 2009, Page: 1312, Yann Guédon

    Version of Record online : 23 NOV 2009, DOI: 10.1111/j.1541-0420.2009.01343_8.x