Elementary Probability

Radically Elementary Probability Theory (Repost)  eBooks & eLearning

Posted by step778 at March 29, 2016
Radically Elementary Probability Theory (Repost)

Edward Nelson, "Radically Elementary Probability Theory"
1987 | pages: 109 | ISBN: 0691084742 | PDF | 3,4 mb

Elementary Probability, 2 edition (repost)  

Posted by libr at Dec. 17, 2015
Elementary Probability, 2 edition (repost)

Elementary Probability, 2 edition by David Stirzaker
English | August 18, 2003 | ISBN-10: 0521833442 | 536 pages | PDF | 3.5 Mb
From Elementary Probability to Stochastic Differential Equations with Maple®

Sasha Cyganowski, Peter Kloeden, Jerzy Ombach - From Elementary Probability to Stochastic Differential Equations with Maple®
Published: 2001-11-20 | ISBN: 3540426663 | PDF | 310 pages | 20 MB
Radically Elementary Probability Theory. (AM-117) by Edward Nelson [Repost]

Radically Elementary Probability Theory. (AM-117) by Edward Nelson
English | September 1, 1987 | ISBN: 0691084742 | 111 pages | PDF | 2 MB

Using only the very elementary framework of finite probability spaces, this book treats a number of topics in the modern theory of stochastic processes. This is made possible by using a small amount of Abraham Robinson's nonstandard analysis and not attempting to convert the results into conventional form.
Elementary Probability Theory: With Stochastic Processes and an Introduction to Mathematical Finance

K. L. Chung, Farid AitSahlia, "Elementary Probability Theory: With Stochastic Processes and an Introduction to Mathematical Finance"
2003 | pages: 411 | ISBN: 1441930620 | PDF | 9,2 mb

Elementary Probability (repost)  

Posted by interes at Dec. 9, 2013
Elementary Probability (repost)

Elementary Probability by David Stirzaker
English | 2 edition | August 18, 2003 | ISBN-10: 0521833442 | 536 pages | PDF | 3.5 Mb

This fully revised and updated new edition of the well established textbook affords a clear introduction to the theory of probability. Topics covered include conditional probability, independence, discrete and continuous random variables, generating functions and limit theorems, and an introduction to Markov chains.

Radically Elementary Probability Theory (Repost)  

Posted by step778 at July 15, 2013
Radically Elementary Probability Theory (Repost)

Edward Nelson, "Radically Elementary Probability Theory"
1987 | pages: 111 | ISBN: 0691084742 | PDF | 3,4 mb

Elements of Probability and Statistics  

Posted by Underaglassmoon at Jan. 26, 2016
Elements of Probability and Statistics

Elements of Probability and Statistics: An Introduction to Probability with de Finetti's Approach and to Bayesian Statistics
Springer | Probability Theory and Stochastic Processes | February 23, 2016 | ISBN-10: 3319072536 | 246 pages | pdf | 3.68 mb

Authors: Biagini, Francesca, Campanino, Massimo
Provides an introduction to elementary probability and to Bayesian statistics using de Finetti's subjectivist approach
Introduces as fundamental the concept of random numbers
Includes numerous exercises covering most topics treated in the theoretical part of the book

Applied Probability [Repost]  

Posted by tanas.olesya at Nov. 10, 2015
Applied Probability [Repost]

Applied Probability (Springer Texts in Statistics) by Kenneth Lange
English | 12 Mar. 2003 | ISBN: 0387004254 | 390 Pages | PDF | 2 MB

This textbook on applied probability is intended for graduate students in applied mathematics, biostatistics, computational biology, computer science, physics, and statistics. It presupposes knowledge of multivariate calculus, linear algebra, ordinary differential equations, and elementary probability theory.

Introduction to Probability Models (repost)  

Posted by libr at Sept. 7, 2014
Introduction to Probability Models (repost)

Sheldon M. Ross, "Introduction to Probability Models"
English | ISBN: 0125984707 | 1997 | PDF | 704 pages | 18 mb

The Sixth Edition of this very successful textbook, Introduction to Probability Models, introduces elementary probability theory and stochastic processes. This book is particularly well-suited for those who want to see how probability theory can be applied to the study of phenomena in fields such as engineering, management science, the physical and social sciences, and operations research.