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Abstract

In this chapter, we discuss the problem of optimal quality usage as a multidimensional Monge–Kantorovich problem. We begin by stating and interpreting the one-dimensional and the multidimensional problems. We provide conditions for optimality and weak optimality in the multivariate case for particular choices of the cost function. Finally, we derive an upper bound for the minimal total losses for a special choice of the cost function and compare it to the upper bound involving the first difference pseudomoment.

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Notes

  1. 1.

    See version (VI) of the Monge–Kantorovich problem in Sect. 5.2 and, in particular, (5.2.36).

  2. 2.

    See, for example, Rockafellar [1970] and Borwein and Lewis [2010].

  3. 3.

    See (14.2.13), (14.2.24), and Theorem 8.2.1 in Chap. 8.

  4. 4.

    See also Kellerer [1984, Theorem 2.21] and Knott and Smith [1984, Theorem 3.2].

  5. 5.

    See Zolotarev [1986, Sect. 1.5].

  6. 6.

    See Case D in Sect. 4.4.

  7. 7.

    See Zolotarev [1986, 6.2.1.

References

  1. Borwein JM, Lewis AS (2010) Convex analysis and nonlinear optimization: theory and examples, 2nd edn. Springer Science, New York

    Google Scholar 

  2. Dobrushin RL (1970) Prescribing a system of random variables by conditional distributions. Theor Prob Appl 15:458–486

    Article  MATH  Google Scholar 

  3. Kellerer HG (1984) Duality theorems for marginal problems. Z Wahrsch Verw Geb 67:399–432

    Article  MathSciNet  MATH  Google Scholar 

  4. Knott M, Smith CS (1984) On the optimal mapping of distributions. J Optim Theor Appl 43:39–49

    Article  MathSciNet  MATH  Google Scholar 

  5. Olkin I, Pukelheim F (1982) The distance between two random vectors with given dispersion matrices. Linear Algebra Appl 48:257–263

    Article  MathSciNet  MATH  Google Scholar 

  6. Rockafellar RT (1970) Convex analysis. Princeton University Press, Princeton

    MATH  Google Scholar 

  7. Zolotarev VM (1986) Contemporary theory of summation of independent random variables. Nauka, Moscow (in Russian)

    Google Scholar 

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Rachev, S.T., Klebanov, L.B., Stoyanov, S.V., Fabozzi, F.J. (2013). Optimal Quality Usage. In: The Methods of Distances in the Theory of Probability and Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4869-3_14

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