Undergraduate students in fields such as mathematics, statistics and data science, engineering, computer science and business analytics. Graduate students in natural and social sciences. Students taking a first course in probability, or a course on probability for statistics and data science. High school math teachers and STEM students. Students in natural and social sciences, economics and finance. Bayesian Probability;Markov Chains;Monte Carlo Simulation;Generating Functions;Real-Life Applications of Probability;Elementary Probability;Poisson Distribution;Stochastic SimulationFor high school AP Stat teachers who want to understand, and should want to understand, probability deeper than what the course curriculum requires, this book would be very helpful.’ – Martin Sternsteinauthor of the bestseller Barron’s AP Statistics with Online Tests’What makes this book unique among books of similar size and scope is that when the author decided to include something in the book, he has treated it in a way similar to the common practice in textbooks, with very detailed and reader-friendly explanations, fully worked-out examples, and even numerous exercises There are no prerequisites beyond second-semester calculus and the book can be used for self-study as well as in the classroom.’ – CHOICE .eText ISBN: 9789811237515
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