Binding: Hardcover
Description: Developed 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 Page Rank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics medicine computer science and information theory. 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. The second edition adds many new examples exercises and explanations to deepen understanding of the ideas clarify subtle concepts and respond to feedback from many students and readers. New supplementary online resources have been developed including animations and interactive visualizations and the book has been updated to dovetail with these resources. Supplementary material is available on Joseph Blitzstein's website www. stat 110. net. The supplements include: Solutions to selected exercises Additional practice problems Handouts including review material and sample exams Animations and interactive visualizations created in connection with the ed X online version of Stat 110. Links to lecture videos available on I Tunes U and You Tube There is also a complete instructor's solutions manual available to instructors who require the book for a course.
Title: Introduction To Probability Second Edition
Author(s): Hwang Jessica (Stanford University California Usa)
Publisher: Taylor & Francis Ltd
Barcode: 9781138369917
Pages: 620 Pages
Publication Date: 2/8/2019
Series: Chapman & Hall/CRC Texts in Statistical Science
Category: Probability & Statistics