Limit Theorems in Probability Statistics and Number Theory is popular PDF and ePub book, written by Peter Eichelsbacher in 2013-04-23, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Limit Theorems in Probability Statistics and Number Theory can be Read Online from any device for your convenience.
Limit Theorems in Probability Statistics and Number Theory Book PDF Summary
Limit theorems and asymptotic results form a central topic in probability theory and mathematical statistics. New and non-classical limit theorems have been discovered for processes in random environments, especially in connection with random matrix theory and free probability. These questions and the techniques for answering them combine asymptotic enumerative combinatorics, particle systems and approximation theory, and are important for new approaches in geometric and metric number theory as well. Thus, the contributions in this book include a wide range of applications with surprising connections ranging from longest common subsequences for words, permutation groups, random matrices and free probability to entropy problems and metric number theory. The book is the product of a conference that took place in August 2011 in Bielefeld, Germany to celebrate the 60th birthday of Friedrich Götze, a noted expert in this field.
Detail Book of Limit Theorems in Probability Statistics and Number Theory PDF
- Author : Peter Eichelsbacher
- Release : 23 April 2013
- Publisher : Springer Science & Business Media
- ISBN : 9783642360688
- Genre : Mathematics
- Total Page : 317 pages
- Language : English
- PDF File Size : 19,9 Mb
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