Logo

Introduction to Randomness and Statistics

Small book cover: Introduction to Randomness and Statistics

Introduction to Randomness and Statistics
by

Publisher: arXiv
Number of pages: 95

Description:
This text provides a practical introduction to randomness and data analysis, in particular in the context of computer simulations. At the beginning, the most basics concepts of probability are given, in particular discrete and continuous random variables. The text is basically self-contained, comes with several example C programs and contains eight practical exercises.

Home page url

Download or read it online for free here:
Download link
(2.4MB, PDF)

Similar books

Book cover: Random Matrix Models and Their ApplicationsRandom Matrix Models and Their Applications
by - Cambridge University Press
The book covers broad areas such as topologic and combinatorial aspects of random matrix theory; scaling limits, universalities and phase transitions in matrix models; universalities for random polynomials; and applications to integrable systems.
(14706 views)
Book cover: Probability and StatisticsProbability and Statistics
- UCLA
This book is developed as a free, collaborative and interactive learning environment for elementary probability and statistics education. The book blends information technology, scientific techniques and modern pedagogical concepts.
(14964 views)
Book cover: Probability and Statistics CookbookProbability and Statistics Cookbook
by
The cookbook contains a succinct representation of various topics in probability theory and statistics. It provides a comprehensive reference reduced to the mathematical essence, rather than aiming for elaborate explanations.
(17648 views)
Book cover: Inverse Problem Theory and Methods for Model Parameter EstimationInverse Problem Theory and Methods for Model Parameter Estimation
by - SIAM
The first part deals with discrete inverse problems with a finite number of parameters, while the second part deals with general inverse problems. The book for scientists and applied mathematicians facing the interpretation of experimental data.
(15027 views)