Logo

Probability Theory by Curtis T. McMullen

Small book cover: Probability Theory

Probability Theory
by

Publisher: Harvard University
Number of pages: 98

Description:
Contents: The Sample Space; Elements of Combinatorial Analysis; Random Walks; Combinations of Events; Conditional Probability; The Binomial and Poisson Distributions; Normal Approximation; Unlimited Sequences of Bernoulli Trials; Random Variables and Expectation; Law of Large Numbers; Integral-Valued Variables. Generating Functions; Random Walk and Ruin Problems; The Exponential and the Uniform Density; Special Densities.

Home page url

Download or read it online for free here:
Download link
(630KB, PDF)

Similar books

Book cover: Lecture Notes on Free ProbabilityLecture Notes on Free Probability
by - arXiv
Contents: Non-commutative Probability Spaces; Distributions; Freeness; Asymptotic Freeness of Random Matrices; Asymptotic Freeness of Haar Unitary Matrices; Free Products of Probability Spaces; Law of Addition; Limit Theorems; Multivariate CLT; etc.
(8670 views)
Book cover: Probability CourseProbability Course
by - David Ellerman
In 1999, Gian-Carlo Rota gave his famous course, Probability, at MIT for the last time. The late John N. Guidi taped the lectures and took notes which he then wrote up in a verbatim manner conveying the substance and the atmosphere of the course.
(8161 views)
Book cover: Almost None of the Theory of Stochastic ProcessesAlmost None of the Theory of Stochastic Processes
by - Carnegie Mellon University
Text for a second course in stochastic processes. It is assumed that you have had a first course on stochastic processes, using elementary probability theory. You will study stochastic processes within the framework of measure-theoretic probability.
(12941 views)
Book cover: Introduction to Stochastic AnalysisIntroduction to Stochastic Analysis
by - Universitaet Bielefeld
From the table of contents: Introduction to Pathwise Ito-Calculus; (Semi-)Martingales and Stochastic Integration; Markov Processes and Semigroups - Application to Brownian Motion; Girsanov Transformation; Time Transformation.
(11307 views)