Empirical Processes with Applications to Statistics

Galen R. Shorack, Jon A. Wellner

ISBN 10: 0898716845 / ISBN 13: 9780898716849

Published by Society for Industrial and Applied Mathematics,U.S., US, 2009

About this Item

Originally published in 1986, this valuable reference provides a detailed treatment of limit theorems and inequalities for empirical processes of real-valued random variables. It also includes applications of the theory to censored data, spacings, rank statistics, quantiles, and many functionals of empirical processes, including a treatment of bootstrap methods, and a summary of inequalities that are useful for proving limit theorems.At the end of the Errata section, the authors have supplied references to solutions for 11 of the 19 Open Questions provided in the book's original edition.

Seller Inventory # LU-9780898716849

Bibliographic Details

• Title: Empirical Processes with Applications to Statistics
• Publisher: Society for Industrial and Applied Mathematics,U.S., US
• Publication Date: 2009
• Language: English
• ISBN 10: 0898716845
• ISBN 13: 9780898716849
• Binding: Paperback
• Edition: Revised ed.
• Condition: New
• Dimensions: 15.88W x 4.45H x 23.5D centimeters 15.88 centimeters width by 4.45 centimeters height by 23.5 centimeters depth
• Weight: 1340 grams

About this title

Synopsis

Originally published in 1986, this valuable reference provides a detailed treatment of limit theorems and inequalities for empirical processes of real-valued random variables. It also includes applications of the theory to censored data, spacings, rank statistics, quantiles, and many functionals of empirical processes, including a treatment of bootstrap methods, and a summary of inequalities that are useful for proving limit theorems. At the end of the Errata section, the authors have supplied references to solutions for 11 of the 19 Open Questions provided in the book's original edition.

About the Authors

Galen R. Shorack is a Professor of Statistics at the University of Washington. He is a Fellow of the Institute of Mathematical Statistics and has written a graduate level text on probability theory.

Jon A. Wellner is a Professor of Statistics at the University of Washington. He is a Fellow of the Institute of Mathematical Statistics, the American Statistical Association, and the American Association for the Advancement of Science. He has written three other books on probability and statistics.