Weak Convergence And Its Applications
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| Title: | Weak Convergence And Its Applications |
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| Description: | Weak convergence of stochastic processes is one of most important theories in probability theory. Not only probability experts but also more and more statisticians are interested in it. In the study of statistics and econometrics, some problems cannot be solved by the classical method. In this book, we will introduce some recent development of modern weak convergence theory to overcome defects of classical theory. |
| Authors: | Zhengyan Lin, Hanchao Wang |
| Resource Type: | eBook. |
| Subjects: | Stochastic processes, Distribution (Probability theory), Convergence |
| Categories: | MATHEMATICS / Probability & Statistics / Stochastic Processes, BUSINESS & ECONOMICS / Econometrics, MATHEMATICS / Game Theory |
| Database: | eBook Collection (EBSCOhost) |
| Abstract: | Weak convergence of stochastic processes is one of most important theories in probability theory. Not only probability experts but also more and more statisticians are interested in it. In the study of statistics and econometrics, some problems cannot be solved by the classical method. In this book, we will introduce some recent development of modern weak convergence theory to overcome defects of classical theory. |
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| ISBN: | 9789814447690 9789814447706 9789814447713 |