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JOURNALS // Teoriya Veroyatnostei i ee Primeneniya // Archive

Teor. Veroyatnost. i Primenen., 1976 Volume 21, Issue 4, Pages 759–774 (Mi tvp3421)

This article is cited in 70 papers

On a non-parametric analogue of the information matrix

Yu. A. Koševnik, B. Ya. Levit

Moscow

Abstract: For a class of differentiable functions $\Phi(F)$ of distributions $F$, an analogue of the information matrix $I(F)$ is considered. In terms of matrix $I(F)$, bounds for risks in estimating $\Phi(F)$ are obtained; this is an extension, to the non-parametric case, of a result of J. Hajek [2]. Some examples are discussed including estimation of $\Phi(F)$ under the restriction that the values of differentiable functions $\Psi(F)$ are known.

Received: 14.12.1975


 English version:
Theory of Probability and its Applications, 1976, 21:4, 738–753

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© Steklov Math. Inst. of RAS, 2026