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

Geometry, Analysis and Probability  eBooks & eLearning

Posted by arundhati at April 26, 2017
Geometry, Analysis and Probability

Jean-Benoît Bost, Helmut Hofer, "Geometry, Analysis and Probability: In Honor of Jean-Michel Bismut"
2017 | ISBN-10: 3319496360 | 361 pages | PDF | 4 MB
Convergence of One-Parameter Operator Semigroups : In Models of Mathematical Biology and Elsewhere

Convergence of One-Parameter Operator Semigroups :
In Models of Mathematical Biology and Elsewhere

by Adam Bobrowski
English | 2016 | ISBN: 1107137438 | 453 Pages | True PDF | 6.4 MB

Written by a leading expert in the field, this book presents the classical theory of convergence of semigroups and then uses real examples to show how it can be applied to models of mathematical biology as well as other branches of mathematics.
Renewal Theory for Perturbed Random Walks and Similar Processes (Probability and Its Applications)

Renewal Theory for Perturbed Random Walks and Similar Processes (Probability and Its Applications) by Alexander Iksanov
English | 28 Dec. 2016 | ISBN: 3319491113 | 266 Pages | PDF | 3.09 MB

This book offers a detailed review of perturbed random walks, perpetuities, and random processes with immigration. Being of major importance in modern probability theory, both theoretical and applied, these objects have been used to model various phenomena in the natural sciences as well as in insurance and finance. The book also presents the many significant results and efficient techniques and methods that have been worked out in the last decade.

Handbook of Probability (repost)  eBooks & eLearning

Posted by libr at Dec. 15, 2016
Handbook of Probability (repost)

Handbook of Probability by Ionut Florescu and Ciprian A. Tudor
English | 2013 | ISBN: 0470647272 | 472 pages | PDF | 2 MB

Probability and Statistics for Computer Scientists, Second Edition (repost)  eBooks & eLearning

Posted by interes at Dec. 13, 2016
Probability and Statistics for Computer Scientists, Second Edition (repost)

Probability and Statistics for Computer Scientists, Second Edition by Michael Baron
English | 2013 | ISBN: 1439875901 | 473 pages | PDF | 15 MB

Python for Probability, Statistics, and Machine Learning  eBooks & eLearning

Posted by Underaglassmoon at March 25, 2016
Python for Probability, Statistics, and Machine Learning

Python for Probability, Statistics, and Machine Learning
Springer | Signals & Communication | April 11, 2016 | ISBN-10: 3319307150 | 276 pages | pdf | 7.1 mb

Authors: Unpingco, José
Explains how to simulate, conceptualize, and visualize random statistical processes and apply machine learning methods
Connects to key open-source Python communities and corresponding modules focused on the latest developments in this area
Outlines probability, statistics, and machine learning concepts using an intuitive visual approach, backed up with corresponding visualization codes