Description
Developed from acclaimed statistics lectures at Harvard, Introduction to Probability, 2nd Edition by Hwang/Blitzstein is an essential eBook that provides readers with the fundamental language and critical tools necessary to navigate the intriguing world of randomness, statistics, and uncertainty. This comprehensive guide dives into a broad array of practical applications and thought-provoking examples, which include everything from everyday coincidences and fascinating paradoxes to advanced concepts like Google PageRank and the sophisticated Markov chain Monte Carlo (MCMC) techniques. Additional areas of application encompass vital fields such as genetics, computer science, medicine, and information theory.
The authors skillfully distill complex concepts into accessible language, ensuring that readers can grasp challenging material with ease. Throughout the text, they employ engaging stories that illuminate the connections between fundamental statistical distributions and simplify intricate problems into digestible components. This eBook is filled with intuitive explanations, numerous diagrams, and a variety of practice problems, making it an invaluable resource for both novice learners and seasoned practitioners. Each chapter concludes with a practical section dedicated to performing relevant simulations and calculations using R, a widely-used free statistical software environment.
The 2nd Edition has been meticulously revised to include an expanded collection of examples, exercises, and clarifying explanations, all aimed at bolstering comprehension and addressing feedback from students and readers. Moreover, new supplementary online resources have been introduced, offering animations and interactive visualizations to enrich the learning experience. The eBook has also been updated to align seamlessly with these additional resources, ensuring a cohesive learning journey.
NOTE: This product contains the eBook, Introduction to Probability 2e by Blitzstein/Hwang, available in PDF format. Please be aware that no access codes are included.
ISBN-13: 978-1138369911 | ISBN-10: 1138369914 | ISBN-10: 1138369930 | ISBN-13: 978-1138369935
Reviews
There are no reviews yet.