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The Active Approach of Stochastic Optimization with New Applications

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Econometrics of Planning and Efficiency

Part of the book series: Advanced Studies in Theoretical and Applied Econometrics ((ASTA,volume 11))

Abstract

The use of active approach in characterizing robust solutions in a linear stochastic production system is analyzed here through minimax and other solutions. Some policy implications are also discussed.

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References

  1. Charnes, A. and Cooper, W. W. (1985), ‘Preface to topics in data envelopment analysis’, Annuals of Operations Research 2: 59–94.

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  4. Sengupta, J. K. (1986), Stochastic Optimization and Economic Models, Dordrecht: D. Reidel Publ. Co.

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  5. Sengupta, J. K. (1986), ‘Data envelopment analysis for efficiency measurement in the stochastic case’, to be published in Computers and Operations Research.

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  6. Tintner, G. (1960), ‘A note on stochastic linear programming’, Econometrica 28: 490–495.

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  7. Tintner, G. and Sengupta, J. K. (1972), Stochastic Economics: Stochastic Processes, Control and Programming, New York: Academic Press.

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Author information

Authors and Affiliations

  1. University of California, Santa Barbara, California, USA

    Jati K. Sengupta

Authors
  1. Jati K. Sengupta
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Editor information

Editors and Affiliations

  1. University of California, Santa Barbara, USA

    Jati K. Sengupta (Professor of Economics and Operations Research) (Professor of Economics and Operations Research)

  2. Institute of Economic Growth, Delhi, India

    Gopal K. Kadekodi (Professor of Economics) (Professor of Economics)

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© 1988 Martinus Nijhoff Publishers, Dordrecht

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Sengupta, J.K. (1988). The Active Approach of Stochastic Optimization with New Applications. In: Sengupta, J.K., Kadekodi, G.K. (eds) Econometrics of Planning and Efficiency. Advanced Studies in Theoretical and Applied Econometrics, vol 11. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-3677-5_5

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  • DOI: https://doi.org/10.1007/978-94-009-3677-5_5

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-8146-7

  • Online ISBN: 978-94-009-3677-5

  • eBook Packages: Springer Book Archive

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