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An extremal property of the generalized arcsine distribution

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  • Karl Schmidt
  • Anatoly Zhigljavsky

Abstract

The main result of the paper is the following characterization of the generalized arcsine density p γ (t) = t γ−1 (1 − t) γ−1 /B(γ, γ) with $${t \in (0, 1)}$$ and $${\gamma \in(0,\frac12) \cup (\frac12,1)}$$ : a r.v. ξ supported on [0, 1] has the generalized arcsine density p γ (t) if and only if $${ {\mathbb E} |\xi- x|^{1-2 \gamma}}$$ has the same value for almost all $${x \in (0,1)}$$ . Moreover, the measure with density p γ (t) is a unique minimizer (in the space of all probability measures μ supported on (0, 1)) of the double expectation $${ (\gamma-\frac12 ) {\mathbb E} |\xi-\xi^{\prime}|^{1-2 \gamma}}$$ , where ξ and ξ′ are independent random variables distributed according to the measure μ. These results extend recent results characterizing the standard arcsine density (the case $${\gamma=\frac12}$$ ). Copyright Springer-Verlag 2013

Suggested Citation

  • Karl Schmidt & Anatoly Zhigljavsky, 2013. "An extremal property of the generalized arcsine distribution," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 76(3), pages 347-355, April.
  • Handle: RePEc:spr:metrik:v:76:y:2013:i:3:p:347-355
    DOI: 10.1007/s00184-012-0391-y
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    References listed on IDEAS

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    1. Schmidt, Karl Michael & Zhigljavsky, Anatoly, 2009. "A characterization of the arcsine distribution," Statistics & Probability Letters, Elsevier, vol. 79(24), pages 2451-2455, December.
    2. Zhigljavsky, Anatoly & Dette, Holger & Pepelyshev, Andrey, 2010. "A New Approach to Optimal Design for Linear Models With Correlated Observations," Journal of the American Statistical Association, American Statistical Association, vol. 105(491), pages 1093-1103.
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