The Doctrine of Chances, written by Abraham De Moivre and originally published in 1718, is a pioneering work on probability theory. The book outlines a method for calculating the likelihood of various events occurring in games of chance, such as dice rolls or coin flips. De Moivre's approach is based on the principles of combinatorics and involves determining the number of possible outcomes for a given event and dividing that by the total number of possible outcomes. The book also explores the concept of expected value and provides examples of how these calculations can be applied in real-life scenarios. The Doctrine of Chances was a groundbreaking work in the field of probability theory and laid the foundation for the development of modern statistical methods.This scarce antiquarian book is a facsimile reprint of the old original and may contain some imperfections such as library marks and notations. Because we believe this work is culturally important, we have made it available as part of our commitment for protecting, preserving, and promoting the world's literature in affordable, high quality, modern editions, that are true to their original work.
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A Huguenot exile in England, the French mathematician Abraham de Moivre (1667–1754) formed friendships with such luminaries as Edmond Halley and Isaac Newton. Making his living from private tuition, he became a fellow of the Royal Society in 1697 and published papers on a range of topics. Probability theory had been pioneered by Pascal, Fermat and Huygens, with further development by the Bernoullis. Originally published in 1718, The Doctrine of Chances was the first English textbook on the new science and so influential that for a time the whole subject was known by the title of the work. Reissued here is the revised and expanded 1738 second edition which contains the remarkable discovery that when a coin is tossed many times, the binomial distribution may be approximated by the normal distribution. This version of the central limit theorem stands as one of de Moivre's most significant contributions to mathematics.
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