Introduction to Probability Simulation

Introduction to Probability Simulation and Gibbs Sampling with R  eBooks & eLearning

Posted by fdts at Jan. 12, 2016
Introduction to Probability Simulation and Gibbs Sampling with R

Introduction to Probability Simulation and Gibbs Sampling with R (Use R!)
by Eric A. Suess, Bruce E. Trumbo
English | 2010 | ISBN: 038740273X | 307 pages | PDF | 10.64 MB
Introduction to Probability and Statistics for Ecosystem Managers: Simulation and Resampling (Repost)

Timothy C. Haas, "Introduction to Probability and Statistics for Ecosystem Managers: Simulation and Resampling"
English | 2013 | ISBN-10: 111835768X | 312 pages | PDF | 3,6 MB
Introduction to Probability and Statistics for Ecosystem Managers: Simulation and Resampling

Timothy C. Haas, "Introduction to Probability and Statistics for Ecosystem Managers: Simulation and Resampling"
2013 | ISBN-10: 111835768X | 312 pages | PDF | 3,6 MB

Introduction to Probability and Statistics from a Bayesian Viewpoint  eBooks & eLearning

Posted by leonardo78 at April 7, 2017
Introduction to Probability and Statistics from a Bayesian Viewpoint

Introduction to Probability and Statistics from a Bayesian Viewpoint by D. V. Lindley
1980| ISBN: 0521298660 | 308 pages | PDF + DJVU | (3,8 + 2,4) MB

The two parts of this book treat probability and statistics as mathematical disciplines and with the same degree of rigour as is adopted for other branches of applied mathematics at the level of a British honours degree. They contain the minimum information about these subjects that any honours graduate in mathematics ought to know.

A Natural Introduction to Probability Theory, 2nd edition (repost)  eBooks & eLearning

Posted by arundhati at April 7, 2017
A Natural Introduction to Probability Theory, 2nd edition (repost)

R. Meester, "A Natural Introduction to Probability Theory, 2nd edition"
2008 | ISBN-10: 3764387238 | 202 pages | PDF | 1 MB

An Introduction To Computer Simulation [Repost]  eBooks & eLearning

Posted by tanas.olesya at Jan. 31, 2017
An Introduction To Computer Simulation [Repost]

An Introduction To Computer Simulation by M. M. Woolfson
English | 29 May 1986 | ISBN: 019850425X | 328 Pages | PDF | 13 MB

Computer simulation is increasingly used in physics and engineering to predict the probable outcome of experiments and to aid in their interpretation. The methods of simulation are based on a range of numerical techniques for treating ordinary and partial differential equations.

Introduction to Probability with Mathematica, Second Edition (repost)  eBooks & eLearning

Posted by libr at Jan. 8, 2017
Introduction to Probability with Mathematica, Second Edition (repost)

Introduction to Probability with Mathematica, Second Edition (Textbooks in Mathematics) by Kevin J. Hastings
English | ISBN: 1420079387 | 2010 | 465 pages | PDF | 3 MB

An Introduction to Probability and Statistics, 3rd Edition  eBooks & eLearning

Posted by roxul at Dec. 19, 2016
An Introduction to Probability and Statistics, 3rd Edition

Vijay K. Rohatgi, A.K. Md. Ehsanes Saleh, "An Introduction to Probability and Statistics, 3rd Edition"
English | ISBN: 111879964X | 2015 | 728 pages | PDF | 12 MB
Survival under Uncertainty: An Introduction to Probability Models of Social Structure and Evolution

Survival under Uncertainty: An Introduction to Probability Models of Social Structure and Evolution
Springer | Physics | Jul 29 2016 | ISBN-10: 3319394193 | 296 pages | pdf | 5.11 mb

Authors: Volchenkov, Dimitri
First monographical text devoted to this subject matter
Written by a leading researcher in this emerging field
Tutorial and self-contained presentation

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 G├ęza 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.