Titlebook: Asymptotic Expansions for General Statistical Models; Johann Pfanzagl Book 1985 Springer-Verlag Berlin Heidelberg 1985 approximation.behav

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Paul S. Rosenbloom,Soowon Lee,Amy UnruhLet β = {P.: θ ∈ Θ}, Θ ⊂ ℝ. open, be a parametric family, and κ: β → ℝ a functional. (It suffices to consider real-valued functionals, since the results presented below apply separately to each of the components of a functional mapping into ∝..)

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Fusing Content and Context with Causality,Chapter 8 contains asymptotic bounds for the concentration of estimator-sequences for real-valued functionals: Section 8.2 for as. median unbiased estimator-sequences, Section 8.3 for estimator-sequences the distributions of which admit a certain as. expansion.

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Foundations of Libvirt Development.. . (., .) . Y . f: x×y → ℝ .

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Differentiability of Paths,Let β be a family of mutually absolutely continuous p-measures. We fix a dominating measure μ, and use the small letter p to denote the μ-density of P ∈ β.

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Examples of Derivatives and Tangent Spaces,Let β = {P.: θ ∈ Θ}, Θ ⊂ℝ. open, be a parametric family of p-measures. Unless otherwise stated, we assume the parametrization to be one-one. We write p(·,θ) for a density of P. with respect to some σ-finite measure μ.