Logo

Probability: Theory and Examples

Large book cover: Probability: Theory and Examples

Probability: Theory and Examples
by

Publisher: Cambridge University Press
ISBN/ASIN: 0521765390
ISBN-13: 9780521765398
Number of pages: 372

Description:
This book is an introduction to probability theory covering laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is a comprehensive treatment concentrating on the results that are the most useful for applications. Its philosophy is that the best way to learn probability is to see it in action.

Home page url

Download or read it online for free here:
Download link
(1.8MB, PDF)

Similar books

Book cover: Lectures on Measure Theory and ProbabilityLectures on Measure Theory and Probability
by - Tata institute of Fundamental Research
Measure Theory (Sets and operations on sets, Classical Lebesgue and Stieltjes measures, Lebesgue integral); Probability (Function of a random variable, Conditional probabilities, Central Limit Problem, Random Sequences and Convergence Properties).
(10885 views)
Book cover: Basic Probability TheoryBasic Probability Theory
by - Dover Publications
This text surveys random variables, conditional probability and expectation, characteristic functions, infinite sequences of random variables, Markov chains, and an introduction to statistics. Geared toward advanced undergraduates and graduates.
(14831 views)
Book cover: Introduction to ProbabilityIntroduction to Probability
by - University of Utah
This is a first course in undergraduate probability. It covers standard material such as combinatorial problems, random variables, distributions, independence, conditional probability, expected value and moments, law of large numbers, etc.
(10738 views)
Book cover: A Probability Course for the ActuariesA Probability Course for the Actuaries
by - Arkansas Tech University
This manuscript will help students prepare for the Probability Exam, the examination administered by the Society of Actuaries. This examination tests a student's knowledge of the fundamental probability tools for quantitatively assessing risk.
(11167 views)