The purpose of this book is to present results on the subject of weak convergence in function spaces to study invariance principles in statistical applications to dependent random variables, U-statistics, censor data analysis. Different techniques, formerly available only in a broad range of literature, are for the first time presented here in a self-contained fashion. Contents:Weak convergence of stochastic processes Weak convergence in metric spaces Weak convergence on C[0, 1] and D[0, infinity)Central limit theorem for semi-martingales and applications Central limit theorems for dependent random variables Empirical process Bibliography
Langue Anglais ● Format PDF ● Pages 148 ● ISBN 9783110476316 ● Maison d’édition De Gruyter ● Publié 2016 ● Téléchargeable 3 fois ● Devise EUR ● ID 6586925 ● Protection contre la copie Adobe DRM
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