1995 | OriginalPaper | Buchkapitel
Asymptotic Theory for the Generalized Bootstrap of Statistical Differentiable Functionals
verfasst von : Philippe Barbe, Patrice Bertail
Erschienen in: The Weighted Bootstrap
Verlag: Springer New York
Enthalten in: Professional Book Archive
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Let T be a statistical functional defined on a space p of probability measures (p.m.’s) on a locally compact Banach space B. Let X, X1,…, Xn be a sequence of independent and identically distributed (i.i.d.) random variables (r.v.) with common probability P∈P, and let us define $$ {P_n}: = {n^{{ - 1}}}\Sigma_{{i = 1}}^n{\delta_{{{X_i}}}} $$, the empirical measure, where δXi denotes the Dirac measure at Xi. When T is smooth in a neighborhood of P, a natural estimator of T(P) is its empirical counterpart T(Pn) (see Von Mises (1947), Huber (1981), Manski (1988)).