| Jerzy Neyman|
| 20 November 1917
Strasbourg, Alsace-Lorraine, German Empire (1917-11-20) |
University of California, Berkeley
Doctor of Philosophy - University of California, Berkeley
Testing Statistical Hypotheses
September 12, 2009, Berkeley, California, United States
University of California, Berkeley (1946)
Guggenheim Fellowship for Natural Sciences, US & Canada, R. A. Fisher Lectureship, Wilks Memorial Award
Testing statistical hypotheses, Theory of point estimation, Nonparametrics, Elements of large‑sa, Basic Concepts of Probab
George Casella, Peter J Bickel, Jerzy Neyman, Pranab K Sen
Peter J. Bickel
Erich Leo Lehmann Wikipedia
Erich Leo Lehmann (20 November 1917 – 12 September 2009) was an American statistician, who made a major contribution to nonparametric hypothesis testing. He is one of the eponyms of the Lehmann–Scheffé theorem and of the Hodges–Lehmann estimator of the median of a population.
Lehmann was born in Strasbourg, Alsace-Lorraine in 1917 to a family of Ashkenazi Jewish ancestry. He grew up in Frankfurt am Main, Germany, until the Machtergreifung in 1933 his family fled to Switzerland to escape the Nazis. He graduated from high school in Zurich, and studied mathematics for two years at Trinity College, Cambridge. Following that, he emigrated to the United States, arriving in New York in late 1940. He enrolled in University of California, Berkeley as a post-graduate student—albeit without a prior degree—in 1941.
Lehmann obtained his MA in mathematics in 1942 and his PhD (under Jerzy Neyman) in 1946, at the University of California, Berkeley, where he taught from 1942. From August 1944 to August 1945 he worked as an operations analyst for the United States Air Force on Guam. He taught at Columbia University and at Princeton University during 1950–51, and then during 1951–1952 he was a visiting associate professor at Stanford University.
He was an editor of "The Annals of Mathematical Statistics" and president of the Institute of Mathematical Statistics, and a member of the American Academy of Arts and Sciences and the National Academy of Science.
In 1997, on the occasion of his eightieth birthday, the department of statistics at the University of California at Berkeley created the Erich Lehmann Fund in Statistics to support the students of the department.Testing Statistical Hypotheses, 1959
Basic Concepts of Probability and Statistics, 1964, co-author J. L. Hodges
Elements of Finite Probability, 1965, co-author J. L. Hodges
Lehmann, Erich L.; With the special assistance of H. J. M. D'Abrera (2006). Nonparametrics: Statistical methods based on ranks (Reprinting of 1988 revision of 1975 Holden-Day ed.). New York: Springer. pp. xvi+463. ISBN 978-0-387-35212-1. MR 2279708.
Theory of Point Estimation, 1983
Lehmann, Erich L. (1998). Elements of Large-Sample Theory. New York: Springer Verlag. ISBN 978-0-387-98595-4.
Reminiscences of a Statistician, 2007, ISBN 978-0-387-71596-4
Fisher, Neyman, and the Creation of Classical Statistics, 2011, ISBN 978-1-4419-9499-8 [published posthumously]
Lehmann, E.L.; Scheffé, H. (1950). "Completeness, similar regions, and unbiased estimation. I.". Sankhyā: the Indian Journal of Statistics. 10 (4): 305–340. JSTOR 25048038. MR 39201.
Lehmann, E.L.; Scheffé, H. (1955). "Completeness, similar regions, and unbiased estimation. II". Sankhyā: the Indian Journal of Statistics. 15 (3): 219–236. JSTOR 25048243. MR 72410.
Hodges, J. L.; Lehmann, E. L. (1956). "The efficiency of some nonparametric competitors of the t-test". Annals of Mathematical Statistics. 27 (2): 324–335. doi:10.1214/aoms/1177728261.
Hodges, J. L.; Lehmann, E. L. (1963). "Estimation of location based on ranks". Annals of Mathematical Statistics. 34 (2): 598–611. doi:10.1214/aoms/1177704172.