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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| Format: | eBook |
| Language: | English |
| Published: |
Berlin/Boston, GERMANY
De Gruyter,
2016.
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| Series: | De Gruyter Textbook ;
64 |
| Subjects: | |
| Online Access: | EBSCOhost Перейти в каталог НБ ТГУ |
| LEADER | 02885cam a2200529Ma 4500 | ||
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| 001 | koha001012850 | ||
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| 020 | |a 3110476312 |q (electronic bk.) | ||
| 020 | |a 9783110476316 |q (electronic bk.) | ||
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| 082 | 0 | 4 | |a 519.2/3 |2 23 |
| 049 | |a MAIN | ||
| 100 | 1 | |a Mandrekar, Vidyadhar S. |9 910493 | |
| 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. |9 910494 | ||
| 300 | |a 1 online resource (148). | ||
| 490 | 0 | |a De Gruyter Textbook ; |v 64 | |
| 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. | ||
| 653 | 0 | |a Limit theorems (Probability theory) | |
| 653 | 0 | |a Fourier transformations. | |
| 653 | 0 | |a Stochastic processes. | |
| 653 | 7 | |a Fourier transformations. |2 fast |0 (OCoLC)fst00933413 | |
| 653 | 7 | |a Limit theorems (Probability theory) |2 fast |0 (OCoLC)fst00998881 | |
| 653 | 7 | |a Stochastic processes. |2 fast |0 (OCoLC)fst01133519 | |
| 653 | 7 | |a MATHEMATICS / Applied |2 bisacsh | |
| 653 | 7 | |a MATHEMATICS / Probability & Statistics / General |2 bisacsh | |
| 655 | 0 | |a EBSCO eBooks |9 905790 | |
| 655 | 4 | |a Electronic books. |9 899821 | |
| 856 | 4 | 0 | |3 EBSCOhost |u https://www.lib.tsu.ru/limit/2023/EBSCO/1362715.pdf |
| 856 | |y Перейти в каталог НБ ТГУ |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=1012850 | ||
| 910 | |a EBSCO eBooks | ||
| 999 | |c 1012850 |d 1012850 | ||
| 039 | |||
