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

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 literat...

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Superior document:Title is part of eBook package: De Gruyter DG Plus eBook-Package 2016
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Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2016]
©2016
Year of Publication:2016
Language:English
Series:De Gruyter Textbook
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Physical Description:1 online resource (VI, 142 p.)
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245 1 0 |a Weak Convergence of Stochastic Processes :  |b With Applications to Statistical Limit Theorems /  |c Vidyadhar S. Mandrekar. 
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505 0 0 |t Frontmatter --   |t Contents --   |t 1. Weak convergence of stochastic processes --   |t 2. Weak convergence in metric spaces --   |t 3. Weak convergence on C[0, 1] and D[0,∞) --   |t 4. Central limit theorem for semi-martingales and applications --   |t 5. Central limit theorems for dependent random variables --   |t 6. Empirical process --   |t Bibliography 
506 0 |a restricted access  |u http://purl.org/coar/access_right/c_16ec  |f online access with authorization  |2 star 
520 |a 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,∞)Central limit theorem for semi-martingales and applicationsCentral limit theorems for dependent random variablesEmpirical processBibliography 
538 |a Mode of access: Internet via World Wide Web. 
546 |a In English. 
588 0 |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021) 
650 0 |a Fourier transformations. 
650 0 |a Limit theorems (Probability theory) 
650 0 |a Limit theorems (Probability theory). 
650 0 |a Stochastic processes. 
650 4 |a Schwache Konvergenz. 
650 4 |a Statistik. 
650 4 |a Stochastischer Prozess. 
650 7 |a MATHEMATICS / Probability & Statistics / Stochastic Processes.  |2 bisacsh 
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