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
लेखक के बारे में
Vidyadhar Mandrekar, Michigan State University, USA.
भाषा अंग्रेज़ी ● स्वरूप EPUB ● पेज 148 ● ISBN 9783110475456 ● फाइल का आकार 26.5 MB ● प्रकाशक De Gruyter ● शहर Berlin/Boston ● प्रकाशित 2016 ● संस्करण 1 ● डाउनलोड करने योग्य 24 महीने ● मुद्रा EUR ● आईडी 6586917 ● कॉपी सुरक्षा Adobe DRM
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