Empirical Processes with Applications to Statistics

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SIAM, 24.09.2009 - 948 Seiten
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.
 

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Inhalt

CL59_ch1
1
CL59_ch2
23
CL59_ch3
85
CL59_ch4
151
CL59_ch5
201
CL59_ch6
258
CL59_ch7
293
CL59_ch8
334
CL59_ch16
597
CL59_ch17
621
CL59_ch18
637
CL59_ch19
660
CL59_ch20
695
CL59_ch21
720
CL59_ch22
743
CL59_ch23
763

CL59_ch9
343
CL59_ch10
404
CL59_ch11
438
CL59_ch12
491
CL59_ch13
504
CL59_ch14
531
CL59_ch15
584
CL59_ch24
781
CL59_ch25
796
CL59_ch26
826
CL59_appendixa
842
CL59_appendixb
884
CL59_backmatter
901
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Über den Autor (2009)

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.

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