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The Emergence of Probability (2nd ed.). New York: Cambridge University Press. ISBN 978-0-521-86655-2. Hald, Anders (2003). A History of Probability and Statistics and Their Applications before 1750. Hoboken, NJ: Wiley. ISBN 0-471-47129-1. Hald, Anders (1998). A History of Mathematical Statistics from 1750 to 1930. New York: Wiley. ISBN 0-471 ...
JEHPS: Recent publications in the history of probability and statistics; Electronic Journ@l for History of Probability and Statistics/Journ@l Electronique d'Histoire des Probabilités et de la Statistique; Figures from the History of Probability and Statistics (Univ. of Southampton) Materials for the History of Statistics (Univ. of York)
Probability is the branch of mathematics and statistics concerning events and numerical descriptions of how likely they are to occur. The probability of an event is a number between 0 and 1; the larger the probability, the more likely an event is to occur. [note 1] [1] [2] A simple example is the tossing of a fair (unbiased) coin. Since the ...
John Aldrich (2008), Figures from the History of Probability and Statistics; John Aldrich (2008), Probability and Statistics on the Earliest Uses Pages; Michael Friendly and Daniel J. Denis (2008). "Milestones in the History of Thematic Cartography, Statistical Graphics, and Data Visualization: An illustrated chronology of innovations"
The cover page of Ars Conjectandi. Ars Conjectandi (Latin for "The Art of Conjecturing") is a book on combinatorics and mathematical probability written by Jacob Bernoulli and published in 1713, eight years after his death, by his nephew, Niklaus Bernoulli.
Pages in category "History of probability and statistics" The following 16 pages are in this category, out of 16 total. This list may not reflect recent changes .
Chapter Four, A Nest of Subtleties and Traps, takes its name from a critique of one of the earliest theorems in probability theory, Law of large numbers (Bernoulli, 1713). The chapter outlines the history of probability, touching on characters such as Gerolamo Cardano, Antoine Gombaud, Bernoulli, Richard von Mises, and John Maynard Keynes.
The classical definition of probability assigns equal probabilities to events based on physical symmetry which is natural for coins, cards and dice. Some mathematicians object that the definition is circular. [11] The probability for a "fair" coin is... A "fair" coin is defined by a probability of... The definition is very limited.