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: Lectures on Stochastic AnalysisLectures on Stochastic Analysis
by - University of Wisconsin
Covered topics: stochastic integrals with respect to general semimartingales, stochastic differential equations based on these integrals, integration with respect to Poisson measures, stochastic differential equations for general Markov processes.
(14463 views)
Book cover: CK-12 Basic Probability and Statistics: A Short CourseCK-12 Basic Probability and Statistics: A Short Course
by - CK-12.org
CK-12 Foundation's Basic Probability and Statistics– A Short Course is an introduction to theoretical probability and data organization. Students learn about events, conditions, random variables, and graphs and tables that allow them to manage data.
(21061 views)
Book cover: Introduction to Probability, Statistics, and Random ProcessesIntroduction to Probability, Statistics, and Random Processes
by - Kappa Research, LLC
This book introduces students to probability, statistics, and stochastic processes. It can be used by both students and practitioners in engineering, sciences, finance, and other fields. It provides a clear and intuitive approach to these topics.
(22526 views)
Book cover: Convergence of Stochastic ProcessesConvergence of Stochastic Processes
by - Springer
Selected parts of empirical process theory, with applications to mathematical statistics. The book describes the combinatorial ideas needed to prove maximal inequalities for empirical processes indexed by classes of sets or classes of functions.
(16058 views)