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Weak Convergence and Its Applications

Autor Zhengyan Lin, Hanchao Wang
en Limba Engleză Hardback – 7 iul 2014
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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Specificații

ISBN-13: 9789814447690
ISBN-10: 9814447692
Pagini: 184
Ilustrații: black & white tables, figures
Dimensiuni: 169 x 254 x 20 mm
Greutate: 0.54 kg
Editura: WORLD SCIENTIFIC

Cuprins

The Definition and Basic Properties of Weak Convergence; The Theory on the Convergence to the Independent Increment Processes; The Theory on the Convergence of Semimartingales; Weak Convergence of Empirical Processes.