The Doctrine of Chances PDF Download
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Author: Stewart N. Ethier
Publisher: Springer Science & Business Media
ISBN: 3540787836
Category : Mathematics
Languages : en
Pages : 822
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Book Description
Three centuries ago Montmort and De Moivre published two books on probability theory emphasizing its most important application at that time, games of chance. This book, on the probabilistic aspects of gambling, is a modern version of those classics.
Author: Stewart N. Ethier
Publisher: Springer Science & Business Media
ISBN: 3540787836
Category : Mathematics
Languages : en
Pages : 822
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Book Description
Three centuries ago Montmort and De Moivre published two books on probability theory emphasizing its most important application at that time, games of chance. This book, on the probabilistic aspects of gambling, is a modern version of those classics.
Author: Abraham de Moivre
Publisher:
ISBN:
Category : Annuities
Languages : en
Pages : 374
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Book Description
Author: Charles Babbage
Publisher:
ISBN:
Category : Abbreviations
Languages : en
Pages : 58
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Book Description
Author: Anant P. Godbole
Publisher: Springer Science & Business Media
ISBN: 9780792328346
Category : Mathematics
Languages : en
Pages : 364
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Book Description
The Probability Theory of Patterns and Runs has had a long and distinguished history, starting with the work of de Moivre in the 18th century and that of von Mises in the early 1920's, and continuing with the renewal-theoretic results in Feller's classic text An Introduction to Probability Theory and its Applications, Volume 1. It is worthwhile to note, in particular, that de Moivre, in the third edition of The Doctrine of Chances (1756, reprinted by Chelsea in 1967, pp. 254-259), provides the generating function for the waiting time for the appearance of k consecutive successes. During the 1940's, statisticians such as Mood, Wolfowitz, David and Mosteller studied the distribution theory, both exact and asymptotic, of run-related statistics, thereby laying the foundation for several exact run tests. In the last two decades or so, the theory has seen an impressive re-emergence, primarily due to important developments in Molecular Biology, but also due to related research thrusts in Reliability Theory, Distribution Theory, Combinatorics, and Statistics.
Author: Charles Sanders Peirce
Publisher:
ISBN:
Category :
Languages : en
Pages : 28
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Book Description
-"Beyond doubt, Charles Sanders Peirce was one of the most original minds of the later nineteenth century and certainly the greatest American thinker ever." Bertrand Russell, 1959This is the 6th book in the "Readings in Pragmatism" series. Unlike previous philosophies, Pragmatism assumes the existence of pure chance in the working of Nature. According to Peirce, "chance" is an irreducible element, and any form of determinism can only emerge from possibilities. This he calls "the Doctrine of Chances."The theories of statistics and probability we know today are based on the scientific and mathematical studies of the 19th century. Peirce was one of the pioneers in both fields. By improving the works of Augustus De Morgan and George Boole, Peirce gave the logical foundations for theories of statistics and probability. He invented the mathematical formalisms we are still using today.This book is one of the essential readings for statisticians, students of sciences and engineering, and gambling enthusiasts. It is the most straightforward and most-educated account on statistical and probabilistic thinking, reasoning, decision making, and problem-solving.In this article, you will discover: The logic theory behind statistics Logical reasoning in probabilistic scenarios The scientific foundations of statistics The history of probability theory Distinct modes of probabilistic inference The basic calculations for gamblers Solutions to Gambler's fallacy and other famous fallacies If you are ready to make this essential reading a part of your collection, then click Buy now with 1-click(R) button.
Author: David R. Bellhouse
Publisher: CRC Press
ISBN: 1439865787
Category : Mathematics
Languages : en
Pages : 258
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Book Description
Extensively researched, this book traces the life and work of Abraham De Moivre as well as the state of probability and statistics in eighteenth-century Britain. It is the first extensive biography of De Moivre and is based on recently discovered material and translations, including some of De Moivre's letters.The book begins with discussions on De
Author: Abraham de Moivre
Publisher:
ISBN:
Category : Electronic books
Languages : en
Pages : 376
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Book Description
Author: Vern S. Poythress
Publisher: Crossway
ISBN: 1433536986
Category : Religion
Languages : en
Pages : 370
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Book Description
What if all events—big and small, good and bad—are governed by more than just blind chance? What if they are governed by God? In this theologically informed and philosophically nuanced introduction to the study of probability and chance, Vern Poythress argues that all events—including the seemingly random or accidental—fall under God's watchful gaze and are part of his eternal plan. Poythress tackles questions related to everything from natural disasters to the roll of the dice, explaining how God's sovereignty functions as the lens through which we study subjects such as science, mathematics, modern physics, evolutionary biology, human choice, and gambling. Comprehensive in its scope, this book lays the theistic foundation for our scientific assumptions about the world while addressing personal questions about the meaning and significance of everyday events.
Author: Florence Nightingale David
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 374
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Book Description
Author: David F. Anderson
Publisher: Cambridge University Press
ISBN: 110824498X
Category : Mathematics
Languages : en
Pages : 447
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Book Description
This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to Probability covers the material precisely, while avoiding excessive technical details. After introducing the basic vocabulary of randomness, including events, probabilities, and random variables, the text offers the reader a first glimpse of the major theorems of the subject: the law of large numbers and the central limit theorem. The important probability distributions are introduced organically as they arise from applications. The discrete and continuous sides of probability are treated together to emphasize their similarities. Intended for students with a calculus background, the text teaches not only the nuts and bolts of probability theory and how to solve specific problems, but also why the methods of solution work.
