Book DetailAuthor/Editor(s): Joseph K. Blitzstein, Jessica Hwang
Publication Date: July 24, 2014
Publisher: Chapman and Hall/CRC
Size: 7.17 MB
Book DescriptionDeveloped from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version.
The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces.
The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.
Full of real-life motivations and applications, this is a leisurely-paced, exercise-laden text which is also suitable for self-study. Each chapter ends with a "Recap" section, another section with R code snippets suggesting how to perform calculations and simulations with that program, and finally an Exercises section with an unusually large amount of exercises. Supplementary material is provided... The book includes a redemption code providing access to an e-book version of the text... .
--Zentralblatt MATH 1300