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Weak Convergence and Empirical Processes: With Applications to Statistics (Springer Series in Statistics), by A.W. van der vaart, Jon Well
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This book explores weak convergence theory and empirical processes and their applications to many applications in statistics. Part one reviews stochastic convergence in its various forms. Part two offers the theory of empirical processes in a form accessible to statisticians and probabilists. Part three covers a range of topics demonstrating the applicability of the theory to key questions such as measures of goodness of fit and the bootstrap.
- Sales Rank: #1649331 in Books
- Published on: 1996-03-14
- Released on: 1996-03-14
- Original language: English
- Number of items: 1
- Dimensions: 9.21" h x 1.19" w x 6.14" l, 1.62 pounds
- Binding: Paperback
- 510 pages
Review
"...succeeds and complements Billingsleys classic work and will become the standard source of study and reference for students and researchers...." The Statistician
Most helpful customer reviews
4 of 5 people found the following review helpful.
Nice book. On-time delivery
By DONGHUI YAN
One of the best books on empirical process. Two nice features about this book:
1) Clearly explains the connection of empirical process to the classic probability theory
2) Discussion of the application of empirical process theory in statistics.
0 of 6 people found the following review helpful.
Excellent
By Shikai Luo
It is very good, almost completely new and I love it very much. I hope that more and more people are going to love the store and love this book!!!
7 of 21 people found the following review helpful.
The best book on empirical processes.
By Dmitriy Panchenko
It's a beautifully written book. Many useful techniques with examples of application. Great reference book. Must have in your library.
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