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Fisher information of scale

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  • Ruckdeschel, Peter
  • Rieder, Helmut

Abstract

Motivated by the information bound for the asymptotic variance of M-estimates for scale, we define Fisher information of scale of any distribution function F on the real line as the supremum of all , where [phi] ranges over the continuously differentiable functions with derivative of compact support and where, by convention, 0/0:=0. In addition, we enforce equivariance by a scale factor. Fisher information of scale is weakly lower semicontinuous and convex. It is finite iff the usual assumptions on densities hold, under which Fisher information of scale is classically defined, and then both classical and our notions agree. Fisher information of finite scale is also equivalent to L2-differentiability and local asymptotic normality, respectively, of the scale model induced by F.

Suggested Citation

  • Ruckdeschel, Peter & Rieder, Helmut, 2010. "Fisher information of scale," Statistics & Probability Letters, Elsevier, vol. 80(23-24), pages 1881-1885, December.
    • Handle: RePEc:eee:stapro:v:80:y:2010:i:23-24:p:1881-1885
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    1. anonymous, 1991. "Fed upgrades functional cost analysis program," Financial Update, Federal Reserve Bank of Atlanta, issue Win, pages 1-2,6.
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    Cited by:

    1. Peter Ruckdeschel & Nataliya Horbenko, 2012. "Yet another breakdown point notion: EFSBP," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 75(8), pages 1025-1047, November.

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