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  1. en.wikipedia.org › wiki › Abraham_WaldAbraham Wald - Wikipedia

    Abraham Wald (/ w ɔː l d /; Hungarian: Wald Ábrahám, Yiddish: אברהם וואַלד; () 31 October 1902 – () 13 December 1950) was a Jewish Hungarian mathematician who contributed to decision theory, geometry and econometrics, and founded the field of sequential analysis.

  2. Jul 6, 2021 · Abraham Wald was a Hungarian mathematician who made significant contributions to the field of statistical analysis in the first half of the 20th century. One of his most notable successes was his work on survivorship bias, which helped improve bomber aircraft protection during WWII, saving countless lives and many more in the conflicts since.

  3. 4 min read. 06_03_2021. Abraham Wald lived to see the end of World War II because of his mastery of statistics, which got him a job in the U.S. that enabled him to escape Nazi persecution in Europe. He put these same skills to use to help his adopted country triumph over the Nazis during the war.

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  5. 31 October 1902. Kolozsvár, Hungary (now Cluj, Romania) Died. 13 December 1950. Travancore, India. Summary. Abraham Wald was a mathematician born in what is now Romania who worked on decision theory, geometry and econometrics. View four larger pictures. Biography. Abraham Wald was born into a Jewish family in Hungary.

  6. The SRG was staffed by a distinguished lot, including many of the most prominent statisticians of the post-war world, the economists Milton Friedman and George Stigler--who were later to receive Nobel Prizes in economics--and the mathematician Abraham Wald.

  7. May 14, 2018 · Abraham Wald (1902-1950) was a mathematical statistician and a geometer. Given the fashions of this century, his fame as a statistician is by far the greater. Mathematical statistics. Wald’s interest in mathematical statistics became primary around 1938 and continued without interruption until his death.

  8. A more complete biography of Abraham Wald may be found in the Ency-clopedia of Statistical Sciences. Wald's 1949 paper, "Statistical Decision Functions," is notable for unifying practically all existing statistical theory by treating statistical problems as special cases of zero-sum two-person games. In 1950, a monograph of the

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