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Weak Convergence and Its Applications

Weak Convergence and Its Applications

Zhengyan Lin, Hanchao Wang
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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.

Readership: Graduate students and researchers in probability & statistics and econometrics.

Categories:
Year:
2014
Edition:
1
Publisher:
World Scientific Publishing Company
Language:
english
Pages:
184
ISBN 10:
9814447692
ISBN 13:
9789814447690
File:
PDF, 1.25 MB
IPFS:
CID , CID Blake2b
english, 2014
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