H.O. Hartley | |
|---|---|
 | |
| Born | Hermann Otto Hirschfeld April 13, 1912 Berlin, Germany |
| Died | December 30, 1980 (aged 68) |
| Alma mater | University of Berlin University of Cambridge University College London |
| Known for | Pearson Hartley Biometrika Tables, Greenwood Hartley Guide to Tables in Mathematical Statistics, mathematical foundations for correspondence analysis, pioneer in the use of EM algorithm, F-max test, survey sampling, mathematical programming and optimization, estimation of variance components, analysis of incomplete data, stochastic PERT |
| Awards | Wilks Memorial Award (1973) Fellow of Institute of Mathematical Statistics (1949) Fellow of American Statistical Association (1953) Elected Member of International Statistics Institute President, Eastern North American Region International Biometric Society (1959) President, American Statistical Association (1979) |
| Scientific career | |
| Fields | Statistics, mathematics |
| Institutions | Harper Adams Agricultural College Scientific Computing Service University College London Iowa State University Texas A&M University Duke University |
| Thesis | Calculus of Variations and Optimal Control Statistical Distribution Functions (1934 and 1940) |
| Doctoral advisor | Adolf Hammerstein (in Berlin) John Wishart (in Cambridge) |
| Doctoral students | George Box |
Herman Otto Hartley (born Hermann Otto Hirschfeld in Berlin, Germany; 1912–1980) was a German American statistician.[1] He made significant contributions in many areas of statistics, mathematical programming, and optimization. He also founded Texas A&M University's Department of Statistics.
Hartley's earliest papers appeared under the name H.O. Hirschfeld. His father having been born in England, Hartley had dual nationality. He cleverly translated his German last name Hirschfeld (Hirsch = Hart, Feld = field = lea = ley) into English.[2]
- ^ "ASA article by William B. Smith" (PDF). Archived (PDF) from the original on March 7, 2013.
- ^ David, H.A. "H.O. Hartley, 1912 - 1980". International Statistical Review. 50 (3): 327–330 – via JSTOR.