Introduction to Probability And Its Applications

Introduction to Probability and Its Applications, 3rd edition (repost)

Introduction to Probability and Its Applications, 3rd edition
by Richard L. Scheaffer, Linda Young
English | 2009 | ISBN: 0534386717 | 480 pages | PDF | 2.48 MB
How to Count: An Introduction to Combinatorics and Its Applications (repost)

How to Count: An Introduction to Combinatorics and Its Applications by Robert A. Beeler
English | 2015 | ISBN-10: 331913843X | 368 pages | pdf | 5 mb

How to Count: An Introduction to Combinatorics and Its Applications  

Posted by Underaglassmoon at March 21, 2015
How to Count: An Introduction to Combinatorics and Its Applications

How to Count: An Introduction to Combinatorics and Its Applications
Springer | Applied & Pure Mathematics | May 14 2015 | ISBN-10: 331913843X | 368 pages | pdf | 4.91 mb

by Robert A. Beeler (Author)
Providing a self-contained resource for upper undergraduate courses in combinatorics, this text emphasizes computation, problem solving, and proof technique.

An Introduction to Pain and its relation to Nervous System Disorders  eBooks & eLearning

Posted by Underaglassmoon at Nov. 1, 2016
An Introduction to Pain and its relation to Nervous System Disorders

An Introduction to Pain and its relation to Nervous System Disorders
Wiley | Neurology | May 2 2016 | ISBN-10: 1118455916 | 440 pages | pdf | 5.66 mb

by Anna A. Battaglia (Editor)

Introduction to Probability with Statistical Applications  eBooks & eLearning

Posted by AlenMiler at June 18, 2016
Introduction to Probability with Statistical Applications

Introduction to Probability with Statistical Applications by Géza Schay
English | 17 Jun. 2016 | ISBN: 3319306189 | 385 Pages | PDF | 4.04 MB

Now in its second edition, this textbook serves as an introduction to probability and statistics for non-mathematics majors who do not need the exhaustive detail and mathematical depth provided in more comprehensive treatments of the subject.

A Modern Introduction to Probability and Statistics [Repost]  eBooks & eLearning

Posted by tanas.olesya at April 2, 2016
A Modern Introduction to Probability and Statistics [Repost]

A Modern Introduction to Probability and Statistics: Understanding Why and How by F.M. Dekking
English | 19 Feb. 2007 | ISBN: 1852338962 | 484 Pages | PDF | 4 MB

Suitable for self study. Use real examples and real data sets that will be familiar to the audience. Introduction to the bootstrap is included – this is a modern method missing in many other books.
Introduction to Probability with Statistical Applications by Géza Schay

Introduction to Probability with Statistical Applications by Géza Schay
English | 17 Sept. 2007 | ISBN: 0817644970 | 316 Pages | PDF | 2 MB

Introduction to Probability with Statistical Applications targets non-mathematics students, undergraduates and graduates, who do not need an exhaustive treatment of the subject.
Mass Transportation Problems: Volume 1: Theory (Probability and Its Applications)

Mass Transportation Problems: Volume 1: Theory (Probability and Its Applications) by Svetlozar T. Rachev
English | Mar. 24, 1998 | ISBN: 0387983503 | 457 Pages | PDF | 2 MB

The first comprehensive account of the theory of mass transportation problems and its applications. In Volume I, the authors systematically develop the theory with emphasis on the Monge-Kantorovich mass transportation and the Kantorovich-Rubinstein mass transshipment problems.

Introduction to Probability and Mathematical Statistics (2nd Edition)  eBooks & eLearning

Posted by Bayron at Aug. 25, 2015
Introduction to Probability and Mathematical Statistics (2nd Edition)

Introduction to Probability and Mathematical Statistics (2nd Edition) by Lee J. Bain, Max Engelhardt
English | 1991 | ISBN: 0534929303, 0534380204 | 644 pages | PDF | 22,4 MB
Decoupling: From Dependence to Independence (Probability and Its Applications) by Victor de la Peña

Decoupling: From Dependence to Independence (Probability and Its Applications) by Victor de la Peña
English | Dec 21, 1998 | ISBN: 0387986162 | 410 Pages | DJVU | 3 MB

A friendly and systematic introduction to the theory and applications. The book begins with the sums of independent random variables and vectors, with maximal inequalities and sharp estimates on moments, which are later used to develop and interpret decoupling inequalities.