Convergence Probability

Lectures on Probability Theory and Mathematical Statistics, 2nd Edition  eBooks & eLearning

Posted by interes at March 4, 2017
Lectures on Probability Theory and Mathematical Statistics, 2nd Edition

Lectures on Probability Theory and Mathematical Statistics, 2nd Edition by Marco Taboga
English | 2012 | ISBN: 1480215236 | 656 pages | PDF | 2,4 MB

Weak Convergence of Measures (Probability and Mathematical Statistics)  eBooks & eLearning

Posted by Nice_smile) at Feb. 8, 2017
Weak Convergence of Measures (Probability and Mathematical Statistics)

Weak Convergence of Measures (Probability and Mathematical Statistics) by Harald Bergstrom
English | 1982 | ISBN: 0120910802 | 272 Pages | PDF | 9.47 MB

Convergence of Probability Measures  eBooks & eLearning

Posted by DZ123 at Oct. 17, 2015
Convergence of Probability Measures

Patrick Billingsley, "Convergence of Probability Measures"
English | 1999 | ISBN: 0471197459 | PDF | pages: 287 | 12,8 mb

Random Matrices and Random Partitions Normal Convergence, Volume 1  eBooks & eLearning

Posted by interes at May 23, 2015
Random Matrices and Random Partitions Normal Convergence, Volume 1

Random Matrices and Random Partitions Normal Convergence, Volume 1 by Zhonggen Su
English | 2015 | ISBN: 9814612227 | 284 pages | PDF | 2 MB

Probability Demystified  eBooks & eLearning

Posted by tarantoga at June 22, 2017
Probability Demystified

Allan G. Bluman, "Probability Demystified, 2nd Edition"
ISBN: 0071780971 | 2012 | EPUB | 272 pages | 12 MB

Probability Theory  eBooks & eLearning

Posted by roxul at June 9, 2017
Probability Theory

S. R. S. Varadhan, "Probability Theory"
English | ISBN: 0821828525 | 2001 | 178 pages | PDF | 1 MB

Mod-ϕ Convergence: Normality Zones and Precise Deviations (Repost)  eBooks & eLearning

Posted by AvaxGenius at May 28, 2017
Mod-ϕ Convergence: Normality Zones and Precise Deviations (Repost)

Mod-ϕ Convergence: Normality Zones and Precise Deviations By Valentin Féray, Pierre-Loïc Méliot, Ashkan Nikeghbali
English | PDF | 2016 | 161 Pages | ISBN : 3319468219 | 2.5 MB

The canonical way to establish the central limit theorem for i.i.d. random variables is to use characteristic functions and Lévy’s continuity theorem. This monograph focuses on this characteristic function approach and presents a renormalization theory called mod-ϕ convergence. This type of convergence is a relatively new concept with many deep ramifications, and has not previously been published in a single accessible volume
Introduction to Probability and Stochastic Processes with Applications (repost)

Liliana Blanco Castañeda, Viswanathan Arunachalam, "Introduction to Probability and Stochastic Processes with Applications"
2012 | ISBN: 1118294408 | 614 pages | PDF | 11 MB
Random Measures, Theory and Applications (Probability Theory and Stochastic Modelling) [Repost]

Random Measures, Theory and Applications (Probability Theory and Stochastic Modelling) by Olav Kallenberg
English | 18 May 2017 | ISBN: 3319415964 | 710 Pages | PDF | 5.32 MB

Offering the first comprehensive treatment of the theory of random measures, this book has a very broad scope, ranging from basic properties of Poisson and related processes to the modern theories of convergence,
The Probability Lifesaver: All the Tools You Need to Understand Chance (Princeton Lifesaver Study Guides)

The Probability Lifesaver: All the Tools You Need to Understand Chance (Princeton Lifesaver Study Guides) by Steven Miller
English | 14 Jun. 2017 | ISBN: 0691149542, 0691149550 | 752 Pages | PDF | 9.61 MB