Proceedings of the Australia-Japan Workshop on Stochastic Models in Engineering, Technology and Management, Gold Coast, Australia, 14-16 July, 1993

Author(s)

Bibliographic Information

Proceedings of the Australia-Japan Workshop on Stochastic Models in Engineering, Technology and Management, Gold Coast, Australia, 14-16 July, 1993

editors, Shunji Osaki, D. N. Pra Murthy

World Scientific, c1993

Other Title

Stochastic models in engineering, technology and management

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Note

Includes bibliographical references

Description and Table of Contents

Description

The proceedings contain a range of papers dealing with different issues relating to the theme of the workshop. The majority of them deal with model formulation and model analysis. A few deal with mathematical techniques that are needed to carry out model analysis. Some of the papers are theoretical whilst others are applied. As a result, the topics covered in these papers highlight the multifaceted nature of stochastic modelling and diversity of the applications of stochastic models.

Table of Contents

  • Statistical methodology for inverse problems, B. Anderssen et al
  • optimizing multiple selections with sequential observations, K. Ano
  • optimal release policy for a software system with improvements in the testing phase, S. Balasubramanian et al
  • Markov chain Monte Carlo estimation of autoregressive models with application to metal pollutant concentration in sludge, G. Barnett et al
  • automated smoothing of image data, M. Berman
  • statistical models for shop-floor use, J.S. Blakemore and S.S. Blakemore
  • stochasticity in a greenhouse model, R.D. Braddock et al
  • a convolution algorithm for product-form batch movement queuing networks, J.L. Coleman et al
  • optimal control of a finite dam with a sample path constraint, T. Dohi et al
  • optimal charging times of a battery for memory backup, I. Hayashi et al
  • optimal allocation policies for testing-resource based on a software reliability growth model, T. Ichimori et al
  • confidence regional method of stochastic spanning tree problem, H. Ishi and T. Matsutomi
  • extended optimal inspection policies for a system on storage, K. Ito et al
  • and others.

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Details

  • NCID
    BA21010902
  • ISBN
    • 9810214529
  • Country Code
    si
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    Singapore
  • Pages/Volumes
    xiii, 612 p.
  • Size
    23 cm
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