“Timeline of probability and statistics”的意思、由来-开放百科全书

Before 1600

9th Century - Al-Kindi was the first to use statistics to decipher encrypted messages and developed the first code breaking algorithm in the House of Wisdom in Baghdad, based on frequency analysis. He wrote a book entitled "Manuscript on Deciphering Cryptographic Messages", containing detailed discussions on statistics^[1]

1560s (published 1663) – Cardano's Liber de ludo aleae attempts to calculate probabilities of dice throws. He demonstrates the efficacy of defining odds as the ratio of favourable to unfavourable outcomes (which implies that the probability of an event is given by the ratio of favourable outcomes to the total number of possible outcomes ^[2]).

1577 – Bartolomé de Medina defends probabilism, the view that in ethics one may follow a probable opinion even if the opposite is more probable

17th century

1654 – Pascal and Fermat create the mathematical theory of probability,

1657 – Huygens's De ratiociniis in ludo aleae is the first book on mathematical probability,

1662 – Graunt's Natural and Political Observations Made upon the Bills of Mortality makes inferences from statistical data on deaths in London,

1666 - In Le Journal des Sçavans xxxi, August 2, 1666 (359-370(=364)) appears a review of the third edition (1665) of John Graunt's Observations on the Bills of Mortality. This review gives a summary of 'plusieurs reflexions curieuses', of which the second are Graunt's data on life expectancy. This review is used by Nicolaus Bernoulli in his De Usu Artis Conjectandi in Jure (1709).

1669 - Christiaan Huygens and his brother Lodewijk discuss between August and December that year Graunts mortality table (Graunt 1662, p. 62) in letters #1755

1693 – Halley prepares the first mortality tables statistically relating death rate to age,

18th century

1710 – Arbuthnot argues that the constancy of the ratio of male to female births is a sign of divine providence,

1713 – Posthumous publication of Jacob Bernoulli's Ars Conjectandi, containing the first derivation of a law of large numbers,

1724 – Abraham de Moivre studies mortality statistics and the foundation of the theory of annuities in Annuities upon Lives,

1733 – Abraham de Moivre introduces the normal distribution to approximate the binomial distribution in probability,

1739 – Hume's Treatise of Human Nature argues that inductive reasoning is unjustified,

1761 – Thomas Bayes proves Bayes' theorem,

1786 – Playfair's Commercial and Political Atlas introduces graphs and bar charts of data,

19th century

1801 – Gauss predicts the orbit of Ceres using a line of best fit

1805 – Adrien-Marie Legendre introduces the method of least squares for fitting a curve to a given set of observations,

1814 – Laplace's Essai philosophique sur les probabilités defends a definition of probabilities in terms of equally possible cases, introduces generating functions and Laplace transforms, uses conjugate priors for exponential families, proves an early version of the Bernstein–von Mises theorem on the asymptotic irrelevance of prior distributions on the limiting posterior distribution and the role of the Fisher information on asymptotically normal posterior modes.

1835 – Quetelet's Treatise on Man introduces social science statistics and the concept of the "average man",

1866 – Venn's Logic of Chance defends the frequency interpretation of probability.

1877–1883 – Charles Sanders Peirce outlines frequentist statistics, emphasizing the use of objective randomization in experiments and in sampling. Peirce also invented an optimally designed experiment for regression.

1880 – Thiele gives a mathematical analysis of Brownian motion, introduces the likelihood function, and invents cumulants.

1888 – Galton introduces the concept of correlation,

20th century

1900 – Bachelier analyzes stock price movements as a stochastic process,

1908 – Student's t-distribution for the mean of small samples published in English (following earlier derivations in German).

1921 – Keynes' Treatise on Probability defends a logical interpretation of probability. Wright develops path analysis.^[3]

1928 – Tippett and Fisher introduce extreme value theory,

1933 – Andrey Nikolaevich Kolmogorov publishes his book Basic notions of the calculus of probability (Grundbegriffe der Wahrscheinlichkeitsrechnung) which contains an axiomatization of probability based on measure theory,

1935 – R. A. Fisher's Design of Experiments (1st ed),

1937 – Neyman introduces the concept of confidence interval in statistical testing,

1946 – Cox's theorem derives the axioms of probability from simple logical assumptions,

1948 – Shannon's Mathematical Theory of Communication defines capacity of communication channels in terms of probabilities,

1953 – Nicholas Metropolis introduces the idea of thermodynamic simulated annealing methods

References

1. ^{{cite book|last=Singh|first=Simon| authorlink = Simon Singh |title=the science of secrecy from ancient Egypt to quantum cryptography|year=2000|publisher=Anchor Books|location=New York|isbn=0-385-49532-3|edition=1st Anchor Books}}
2. ^Some laws and problems in classical probability and how Cardano anticipated them Gorrochum, P. Chance magazine 2012
3. ^{{cite journal|last=Wright|first=Sewall|title=Correlation and causation|year=1921|journal=Journal of Agricultural Research|volume=20|issue=7|pages=557–585}}