Beschreibung
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,) Central limit theorem for semi-martingales and applications Central limit theorems for dependent random variables Empirical process Bibliography
Autorenporträt
Vidyadhar Mandrekar, Michigan State University, USA.
Herstellerkennzeichnung:
Walter de Gruyter GmbH
De Gruyter GmbH
Genthiner Strasse 13
10785 Berlin
DE
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