Probability, With Applications and R [PDF]~StormRG~

Title: Probability, With Applications and R
Pages: 520
Publisher: Wiley; 1 edition (November 4, 2013)
Language: English
ISBN-10: 1118241258
ISBN-13: 978-1118241257
Format: Retail PDF
Reader Required: Adobe Reader, Foxit, Nitro, Adobe Digital Editions

Note: This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book.

Tested on the above readers with no problems on laptop and Android tablet.
Don't hesitate to PM me if you have any questions or problem with the download, as comments on the torrent are easy to miss. Please allow a couple
seconds for the seedboxes to kick in, then it should move pretty quick.
Hope it helps in your studies. Go for it! :D



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.