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Empirical Processes with Applications to Statistics
Shorack, Galen R.; Wellner, Jon A.
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Description for Empirical Processes with Applications to Statistics
Paperback.
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.
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.
Product Details
Format
Paperback
Publication date
2009
Publisher
Society for Industrial & Applied Mathematics,U.S. United States
Number of pages
948
Condition
New
Number of Pages
948
Place of Publication
New York, United States
ISBN
9780898716849
SKU
V9780898716849
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1
About Shorack, Galen R.; Wellner, Jon A.
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, ... Read more
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