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Vidyadhar S. Mandrekar 
Weak Convergence of Stochastic Processes 
With Applications to Statistical Limit Theorems

समर्थन
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
€82.94
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भाषा अंग्रेज़ी ● स्वरूप PDF ● पेज 148 ● ISBN 9783110476316 ● प्रकाशक De Gruyter ● प्रकाशित 2016 ● डाउनलोड करने योग्य 3 बार ● मुद्रा EUR ● आईडी 6586925 ● कॉपी सुरक्षा Adobe DRM
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