Logo

Seeing Theory: A visual introduction to probability and statistics

Small book cover: Seeing Theory: A visual introduction to probability and statistics

Seeing Theory: A visual introduction to probability and statistics
by

Publisher: Brown University
Number of pages: 66

Description:
The intent of the website and these notes is to provide an intuitive supplement to an introductory level probability and statistics course. The level is also aimed at students who are returning to the subject and would like a concise refresher on the material.

Home page url

Download or read it online for free here:
Download link
(320KB, PDF)

Similar books

Book cover: Correlation and CausalityCorrelation and Causality
by - John Wiley & Sons Inc
This text is a general introduction to the topic of structural analysis. It presumes no previous acquaintance with causal analysis. It is general because it covers all the standard, as well as a few nonstandard, statistical procedures.
(11247 views)
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.
(9636 views)
Book cover: Probability and Mathematical StatisticsProbability and Mathematical Statistics
by - University of Louisville
This book is an introduction to probability and mathematical statistics intended for students already having some elementary mathematical background. It is intended for a one-year junior or senior level undergraduate or beginning graduate course.
(3965 views)
Book cover: Basic Data Analysis and More: A Guided Tour Using PythonBasic Data Analysis and More: A Guided Tour Using Python
by - arXiv
In these lecture notes, a selection of frequently required statistical tools will be introduced and illustrated. They allow to post-process data that stem from, e.g., large-scale numerical simulations (aka sequence of random experiments).
(9179 views)