Logo

Introduction to Probability and Statistics Using R

Large book cover: Introduction to Probability and Statistics Using R

Introduction to Probability and Statistics Using R
by


ISBN/ASIN: 0557249791
ISBN-13: 9780557249794
Number of pages: 412

Description:
This is a textbook for an undergraduate course in probability and statistics. The approximate prerequisites are two or three semesters of calculus and some linear algebra. Students attending the class include mathematics, engineering, and computer science majors.

Home page url

Download or read it online for free here:
Download link
(multiple formats)

Similar books

Book cover: Probability, Statistics and Stochastic ProcessesProbability, Statistics and Stochastic Processes
by
Contents: Probability (Probability Calculus, Random Variables, Discrete and Continuous Distributions); Statistics (Handling of Data, Sampling, Estimation, Hypothesis Testing); Stochastic Processes (Markov Processes, Continuous-Time Processes).
(12878 views)
Book cover: An Introduction to Stochastic PDEsAn Introduction to Stochastic PDEs
by - arXiv
This text is an attempt to give a reasonably self-contained presentation of the basic theory of stochastic partial differential equations, taking for granted basic measure theory, functional analysis and probability theory, but nothing else.
(14703 views)
Book cover: Statistics, Probability, and Game Theory: papers in honor of David BlackwellStatistics, Probability, and Game Theory: papers in honor of David Blackwell
by - IMS
The bulk of the articles in this volume are research articles in probability, statistics, gambling, game theory, Markov decision processes, set theory and logic, comparison of experiments, games of timing, merging of opinions, etc.
(14655 views)
Book cover: Bayesian Field TheoryBayesian Field Theory
by - arXiv.org
A particular Bayesian field theory is defined by combining a likelihood model, providing a probabilistic description of the measurement process, and a prior model, providing the information necessary to generalize from training to non-training data.
(7691 views)