An introduction to probability at the undergraduate level
Chance and randomness are encountered on a daily basis. Authored
by a highly qualified professor in the field, Probability: With
Applications and R delves into the theories and applications
essential to obtaining a thorough understanding of probability.
With real-life examples and thoughtful exercises from fields as
diverse as biology, computer science, cryptology, ecology, public
health, and sports, the book is accessible for a variety of
readers. The book’s emphasis on simulation through the use of
the popular R software language clarifies and illustrates key
computational and theoretical results.
Probability: With Applications and R helps readers
develop problem-solving skills and delivers an appropriate mix of
theory and application. The book includes:
* Chapters covering first principles, conditional probability,
independent trials, random variables, discrete distributions,
continuous probability, continuous distributions, conditional
distribution, and limits
* An early introduction to random variables and Monte Carlo
simulation and an emphasis on conditional probability,
conditioning, and developing probabilistic intuition
* An R tutorial with example script files
* Many classic and historical problems of probability as well as
nontraditional material, such as Benford’s law, power-law
distributions, and Bayesian statistics
* A topics section with suitable material for projects and
explorations, such as random walk on graphs, Markov chains, and
Markov chain Monte Carlo
* Chapter-by-chapter summaries and hundreds of practical
exercises
Probability: With Applications and R is an ideal text for
a beginning course in probability at the undergraduate level.
Über den Autor
ROBERT P. DOBROW, Ph D, is Professor of Mathematics at Carleton College. He has taught probability for over fifteen years and has authored numerous papers in probability theory, Markov chains, and statistics.
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