Weak Convergence of Stochastic Processes : With Applications to Statistical Limit Theorems.
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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| Main Author: | |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin/Boston, GERMANY :
De Gruyter,
2016.
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| Series: | De Gruyter textbook.
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| Subjects: | |
| Online Access: | CONNECT |
MARC
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| 100 | 1 | |a Mandrekar, Vidyadhar S. | |
| 245 | 1 | 0 | |a Weak Convergence of Stochastic Processes : |b With Applications to Statistical Limit Theorems. |
| 260 | |a Berlin/Boston, GERMANY : |b De Gruyter, |c 2016. | ||
| 300 | |a 1 online resource (148) | ||
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| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a 1. Weak convergence of stochastic processes ; 2. Weak convergence in metric spaces ; 3. Weak convergence on C[0, 1] and D[0,8) ; 4. Central limit theorem for semi-martingales and applications ; 5. Central limit theorems for dependent random variables ; 6. Empirical process. | |
| 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. | ||
| 504 | |a Includes bibliographical references. | ||
| 546 | |a In English. | ||
| 500 | |a EBSCO eBook Academic Comprehensive Collection North America |5 TMurS | ||
| 650 | 0 | |a Limit theorems (Probability theory) | |
| 650 | 0 | |a Fourier transformations. | |
| 650 | 0 | |a Stochastic processes. | |
| 730 | 0 | |a WORLDSHARE SUB RECORDS | |
| 758 | |i has work: |a Weak convergence of stochastic processes (Text) |1 https://id.oclc.org/worldcat/entity/E39PCG43PHV7Pqx9pjky9HtvXm |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
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| 952 | f | f | |a Middle Tennessee State University |b Main |c James E. Walker Library |d Electronic Resources |t 0 |e QA273.67 .M29 2016eb |h Library of Congress classification |
