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Weak Convergence of Stochastic Processes: With Applications to Statistical
- Item No : 177120139823
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- Current Bid : US $88.19
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* Item Description
- 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 processesWeak convergence in metric spacesWeak convergence on C[0, 1] and D[0,8)Central limit theorem for semi-martingales and applicationsCentral limit theorems for dependent random variablesEmpirical processBibliography Vidyadhar Mandrekar, Michigan State University, USA.
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