126,89 €
Weak Convergence of Stochastic Processes
Weak Convergence of Stochastic Processes
  • Sold out
Weak Convergence of Stochastic Processes
Weak Convergence of Stochastic Processes
El. knyga:
126,89 €
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[0,8)Centra…

Weak Convergence of Stochastic Processes (e-book) (used book) | bookbook.eu

Reviews

There are no ratings.
Rate it too! All reviews

Description

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 processes
Weak convergence in metric spaces
Weak convergence on C[0, 1] and D[0,8)
Central limit theorem for semi-martingales and applications
Central limit theorems for dependent random variables
Empirical process
Bibliography

126,89 €
Log in and for this item
you will receive 1,27 Book Euros! ?

Electronic book:
Delivery after ordering is instant! Intended for reading only on a computer, tablet or other electronic device.

Lowest price in 30 days: 126,89 €

Lowest price recorded: Price has not changed


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 processes
Weak convergence in metric spaces
Weak convergence on C[0, 1] and D[0,8)
Central limit theorem for semi-martingales and applications
Central limit theorems for dependent random variables
Empirical process
Bibliography

Reviews

  • No reviews
0 customers have rated this item.
5
0%
4
0%
3
0%
2
0%
1
0%
(will not be displayed)