Джордж Юдни Юл: британдық статистик және генетик

British statistician and geneticist

George Udny Yule FRS (18 February 1871 – 26 June 1951), usually known as Udny Yule, was a British statistician, particularly known for the Yule distribution and proposing the preferential attachment model for random graphs.

Yule was born at Beech Hill, a house in Morham near Haddington, Scotland and died in Cambridge, England. He came from an established Scottish family composed of army officers, civil servants, scholars, and administrators. His father, Sir George Udny Yule (1813–1886) was a brother of the noted orientalist Sir Henry Yule (1820–1889). His great uncle was the botanist John Yule. In 1899, Yule married May Winifred Cummings. The marriage was annulled in 1912, producing no children.

Udny Yule was educated at Winchester College and at the age of 16 at University College London where he read engineering. After a year in Bonn doing research in experimental physics under Heinrich Rudolf Hertz, Yule returned to University College in 1893 to work as a demonstrator for Karl Pearson, one of his former teachers. Pearson was beginning to work in statistics and Yule followed him into this new field. Yule progressed to an assistant professorship but he left in 1899 to a better paid position as secretary to an examination board, working under Philip Magnus at the City and Guilds Institute. In 1902 Yule became Newmarch lecturer in statistics at University College, a position he held together with his post at the City and Guilds Institute. He continued to publish articles and also wrote an influential textbook, Introduction to the Theory of Statistics (1911), based on his lectures. He was active in the Royal Statistical Society, was awarded its Guy Medal in Gold in 1911, and served as its president in 1924–26. Yule's first paper on statistics appeared in 1895: "On the Correlation of Total Pauperism with Proportion of Out relief". Yule was interested in applying statistical techniques to social problems and he quickly became a member of the Royal Statistical Society. For many years the only members interested in mathematical statistics were Yule, Edgeworth and Bowley. In 1897–99 Yule wrote important papers on correlation and regression. After 1900 he worked on a parallel theory of association. His approach to association was quite different from Pearson's and relations between them deteriorated. Yule had broad interests and his collaborators included the agricultural meteorologist R. H. Hooker, the medical statistician Major Greenwood and the agricultural scientist Sir Frank Engledow. Yule's sympathy towards the newly rediscovered Mendelian theory of genetics led to several papers. In the 1920s Yule wrote three influential papers on time series analysis, "On the time correlation problem" (1921), a critique of the variate difference method, an investigation of a form of spurious correlation (1926) and "On a Method of Investigating Periodicities in Disturbed Series, with Special Reference to Wolfer's Sunspot Numbers" (1927), which used an autoregressive model to model the sunspot time series instead of the established periodogram method of Schuster.

In 1922, J. C. Willis published Age and Area, based on botanical field work in Ceylon, where he studied the distributional patterns of the Ceylonese vascular plants in great detail. He compiled a table of the number of existent species in each genus of flowering plants, and the same for the Rubiaceae, and for the Chrysomelid beetles. Let be the number of genera with existent species. When is plotted on a log log plot, each of these follows a straight line. This shows that for some That is, the distribution has a power law tail. The figures are found in, or page 241 and 242. In 1925 Yule published the paper "A Mathematical Theory of Evolution, based on the Conclusions of Dr. J. C. Willis, F. R. S.", where he proposed a stochastic process which reproduces the power law tail. This was later called the Yule process, but is now better known as preferential attachment. Herbert A. Simon dubbed the resulting distribution the Yule distribution in his honour.