Weak Convergence of Stochastic Processes

Vidyadhar S. Mandrekar

ISBN 10: 3110475421 / ISBN 13: 9783110475425

Published by De Gruyter, DE, 2016

About this Item

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.

Seller Inventory # LU-9783110475425

Bibliographic Details

• Title: Weak Convergence of Stochastic Processes
• Publisher: De Gruyter, DE
• Publication Date: 2016
• Language: English
• ISBN 10: 3110475421
• ISBN 13: 9783110475425
• Binding: Paperback
• Condition: New
• Weight: 301 grams

About this title

Synopsis

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,∞)
Central limit theorem for semi-martingales and applications
Central limit theorems for dependent random variables
Empirical process
Bibliography

About the Author

Vidyadhar Mandrekar, Michigan State University, USA.