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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050 | 0 | 0 | |a QA273.67 |b .M29 2016 |
072 | 7 | |a MAT029040 |2 bisacsh | |
100 | 1 | |a Mandrekar, Vidyadhar S., |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
245 | 1 | 0 | |a Weak Convergence of Stochastic Processes : |b With Applications to Statistical Limit Theorems / |c Vidyadhar S. Mandrekar. |
264 | 1 | |a Berlin ; |a Boston : |b De Gruyter, |c [2016] | |
264 | 4 | |c ©2016 | |
300 | |a 1 online resource (VI, 142 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
347 | |a text file |b PDF |2 rda | ||
490 | 0 | |a De Gruyter Textbook | |
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 | |
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t DG Plus eBook-Package 2016 |z 9783110701005 |
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE COMPLETE 2016 |z 9783110485103 |o ZDB-23-DGG |
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE Mathematics 2016 |z 9783110485288 |o ZDB-23-DMA |
776 | 0 | |c EPUB |z 9783110475456 | |
776 | 0 | |c print |z 9783110475425 | |
856 | 4 | 0 | |u https://doi.org/10.1515/9783110476316 |
856 | 4 | 0 | |u https://www.degruyter.com/isbn/9783110476316 |
856 | 4 | 2 | |3 Cover |u https://www.degruyter.com/cover/covers/9783110476316.jpg |
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