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: Stochastic Integration and Stochastic Differential EquationsStochastic Integration and Stochastic Differential Equations
by - University of Texas
Written for graduate students of mathematics, physics, electrical engineering, and finance. The students are expected to know the basics of point set topology up to Tychonoff's theorem, general integration theory, and some functional analysis.
(11393 views)
Book cover: Introduction to Probability Theory and Statistics for LinguisticsIntroduction to Probability Theory and Statistics for Linguistics
by - UCLA
Contents: Basic Probability Theory (Conditional Probability, Random Variables, Limit Theorems); Elements of Statistics (Estimators, Tests, Distributions, Correlation and Covariance, Linear Regression, Markov Chains); Probabilistic Linguistics.
(10288 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.
(11156 views)
Book cover: Markov Chains and Stochastic StabilityMarkov Chains and Stochastic Stability
by - Springer
The book on the theory of general state space Markov chains, and its application to time series analysis, operations research and systems and control theory. An advanced graduate text and a monograph treating the stability of Markov chains.
(18396 views)