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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin/Boston, GERMANY :
De Gruyter,
2016.
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| Colección: | De Gruyter textbook.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 082 | 0 | 4 | |a 519.2/3 |2 23 |
| 049 | |a UAMI | ||
| 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) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a De Gruyter Textbook | |
| 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. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Limit theorems (Probability theory) | |
| 650 | 0 | |a Fourier transformations. | |
| 650 | 0 | |a Stochastic processes. | |
| 650 | 2 | |a Stochastic Processes | |
| 650 | 6 | |a Théorèmes limites (Théorie des probabilités) | |
| 650 | 6 | |a Processus stochastiques. | |
| 650 | 7 | |a MATHEMATICS |x Applied. |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x General. |2 bisacsh | |
| 650 | 7 | |a Fourier transformations |2 fast | |
| 650 | 7 | |a Limit theorems (Probability theory) |2 fast | |
| 650 | 7 | |a Stochastic processes |2 fast | |
| 776 | |z 3-11-047542-1 | ||
| 830 | 0 | |a De Gruyter textbook. | |
| 856 | 4 | 0 | |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1362715 |z Texto completo |
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