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  1. Sir Maurice George Kendall, FBA (* 6. September 1907 in Kettering, Northamptonshire; † 29. März 1983 in Redhill, Surrey) war ein britischer Statistiker. Die Kendall’schen Rangkorrelationskoeffizienten und der Kendall’sche Konkordanzkoeffizient sind nach ihm benannt.

  2. Sir Maurice George Kendall, FBA (6 September 1907 – 29 March 1983) was a prominent British statistician. The Kendall tau rank correlation is named after him. Education and early life. Maurice Kendall was born in Kettering, Northamptonshire as the only child of engineering worker John Roughton Kendall and Georgina, née Brewer.

  3. 6. Sept. 2017 · Maurice Kendall was a British statistician, widely known for his contributions to correlation and statistics. View two larger pictures. Biography. Maurice Kendall's father, John Roughton Kendall, was an engineering worker who was brought up in Kettering, while his mother was Georgina Brewer who came from Hertfordshire.

  4. 1. Jan. 2018 · Kendall was a brilliant mathematical statistician and a prolific writer on his subject. His first important work was the revised eleventh edition of G.U. Yule’s Introduction to the Theory of Statistics (Yule and Kendall 1937).

  5. Sir Maurice George Kendall, FBA (* 6. September 1907 in Kettering, Northamptonshire; † 29. März 1983 in Redhill, Surrey) war ein britischer Statistiker. Die Kendall'schen Rangkorrelationskoeffizienten und der Kendall'sche Konkordanzkoeffizient sind nach ihm benannt. Siehe auch folgende Internetseiten: Maurice George Kendall Biographie ...

  6. Kendall, Maurice was born in 1907 in Kettering, Northamptonshire, England. He studied Mathematics at St. John's College, Cambridge. After graduation as a Mathematics Wrangler in 1929, he joined the British Civil Service in the Ministry of Agriculture. He was elected a Fellow of the Society in 1934.

  7. 1. Jan. 2012 · Maurice George Kendall was an extraordinarily versatile and influential leader in statistics. He distinguished himself as a prolific and effective expositor of statistical theory, and also made important contributions to nonparametric statistics, time series, symmetric functions, and the history of statistics.