Weak convergence and empirical processes

Weak convergence and empirical processes

Aad van der Vaart, Jon Wellner
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This book provides an account of weak convergence theory and empirical processes and their applications to a wide variety of applications in statistics. The first part of the book presents a thorough account of stocastic convergence in its various forms. Part 2 brings together the theory of empirical processes in a form accessible to statisticians and probabilists. In Part 3, the authors cover a range of topics which demonstrate the applicability of the theory to important questions such as: limit theorems in asymptotic statistics; measures of goodness of fit; the bootstrap; and semiparametric estimation. Most of the sections conclude with "problems and complements". Some of these are exercises to help the reader's understanding of the material whereas others are intended to supplement the text.
Categorie:
Anno:
1996
Edizione:
Corrected
Casa editrice:
Springer
Lingua:
english
Pagine:
264
ISBN 10:
0387946403
ISBN 13:
9780387946405
Collana:
Springer Series in Statistics
File:
PDF, 19.46 MB
IPFS:
CID , CID Blake2b
english, 1996
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