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Deriving Posterior Distributions

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Estimating Output-Specific Efficiencies

Part of the book series: Applied Optimization ((APOP,volume 61))

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Abstract

Density (5.7) can not be expressed in closed form or at least approximated for the general case (for example by linearization), when a closed form representation of y Fs (x i,m i ) is missing. This is exactly the case with a DEA estimated frontier. So parameter estimation based on analytical evaluation of this likelihood in applied work (with unknown frontier) is impossible.

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© 2002 Springer Science+Business Media Dordrecht

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Gstach, D. (2002). Deriving Posterior Distributions. In: Estimating Output-Specific Efficiencies. Applied Optimization, vol 61. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0007-0_7

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  • DOI: https://doi.org/10.1007/978-1-4615-0007-0_7

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-4883-2

  • Online ISBN: 978-1-4615-0007-0

  • eBook Packages: Springer Book Archive

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