John Tukey

John Tukey

John Wilder Tukey
Born (1915-06-16)June 16, 1915
New Bedford, Massachusetts, U.S.
Died July 26, 2000(2000-07-26) (aged 85)
New Brunswick, New Jersey, U.S.
Residence United States
Nationality American
Fields Mathematician
Institutions Bell Labs
Princeton University
Alma mater Brown University
Princeton University
Doctoral advisor Solomon Lefschetz
Doctoral students Arthur Dempster
Leo Goodman
Paul Meier
Frederick Mosteller
Kai Lai Chung
Known for Exploratory data analysis
Projection pursuit
Box plot
Cooley–Tukey FFT algorithm
Tukey's range test
Tukey lambda distribution
Tukey–Duckworth test
Siegel–Tukey test
Tukey's trimean
Tukey's test of additivity
Tukey's lemma
Blackman-Tukey transformation
Tukey mean difference plot
Tukey median and Tukey depth
Coining the term 'bit'
Notable awards Samuel S. Wilks Award (1965)
National Medal of Science (USA) in Mathematical, Statistical, and Computational Sciences (1973)
Shewhart Medal (1976)
IEEE Medal of Honor (1982)
Deming Medal (1982)
James Madison Medal (1984)
Foreign Member of the Royal Society (1991)

John Wilder Tukey ForMemRS[1] (/ˈtki/;[2] June 16, 1915 – July 26, 2000) was an American mathematician best known for development of the FFT algorithm and box plot.[3] The Tukey range test, the Tukey lambda distribution, the Tukey test of additivity, and the Teichmüller–Tukey lemma all bear his name.

Biography

Tukey was born in New Bedford, Massachusetts in 1915, and obtained a B.A. in 1936 and M.Sc. in 1937, in chemistry, from Brown University, before moving to Princeton University where he received a Ph.D. in mathematics.[4]

During World War II, Tukey worked at the Fire Control Research Office and collaborated with Samuel Wilks and William Cochran. After the war, he returned to Princeton, dividing his time between the university and AT&T Bell Laboratories. He became a full professor at 35 and founding chairman of the Princeton statistics department in 1965.[5]

Among many contributions to civil society, Tukey served on a committee of the American Statistical Association that produced a report challenging the conclusions of the Kinsey Report, Statistical Problems of the Kinsey Report on Sexual Behavior in the Human Male.

He was awarded the National Medal of Science by President Nixon in 1973.[5] He was awarded the IEEE Medal of Honor in 1982 "For his contributions to the spectral analysis of random processes and the fast Fourier transform (FFT) algorithm."

Tukey retired in 1985. He died in New Brunswick, New Jersey on July 26, 2000.

Scientific contributions

Early in his career Tukey worked on developing statistical methods for computers at Bell Labs where he invented the term "bit".[6]

His statistical interests were many and varied. He is particularly remembered for his development with James Cooley of the Cooley–Tukey FFT algorithm. In 1970, he contributed significantly to what is today known as the jackknife estimation—also termed Quenouille-Tukey jackknife. He introduced the box plot in his 1977 book, "Exploratory Data Analysis".

Tukey's range test, the Tukey lambda distribution, Tukey's test of additivity and Tukey's lemma all bear his name. He is also the creator of several little-known methods such as the trimean and median-median line, an easier alternative to linear regression.

In 1974, he developed, with Jerome H. Friedman, the concept of the projection pursuit.[7]

Statistical practice

He also contributed to statistical practice and articulated the important distinction between exploratory data analysis and confirmatory data analysis, believing that much statistical methodology placed too great an emphasis on the latter.

Though he believed in the utility of separating the two types of analysis, he pointed out that sometimes, especially in natural science, this was problematic and termed such situations uncomfortable science.

A D Gordon offered the following summary of Tukey's principles for statistical practice:

... the usefulness and limitation of mathematical statistics; the importance of having methods of statistical analysis that are robust to violations of the assumptions underlying their use; the need to amass experience of the behaviour of specific methods of analysis in order to provide guidance on their use; the importance of allowing the possibility of data's influencing the choice of method by which they are analysed; the need for statisticians to reject the role of 'guardian of proven truth', and to resist attempts to provide once-for-all solutions and tidy over-unifications of the subject; the iterative nature of data analysis; implications of the increasing power, availability and cheapness of computing facilities; the training of statisticians.

Statistical terms

Tukey coined many statistical terms that have become part of common usage, but the two most famous coinages attributed to him were related to computer science.

While working with John von Neumann on early computer designs, Tukey introduced the word "bit" as a contraction of "binary digit".[8] The term "bit" was first used in an article by Claude Shannon in 1948.

In 2000, Fred Shapiro, a librarian at the Yale Law School, published a letter revealing that Tukey's 1958 paper "The Teaching of Concrete Mathematics"[9] contained the earliest known usage of the term "software" found in a search of JSTOR's electronic archives, predating the OED's citation by two years.[10] This led many to credit Tukey with coining the term, particularly in obituaries published that same year,[5] although Tukey never claimed credit for any such coinage. In 1995, Paul Niquette claimed he had originally coined the term in October 1953, although he could not find any documents supporting his claim.[11] The earliest known publication of the term "software" in an engineering context was in August 1953 by Richard R. Carhart, in a Rand Corporation Research Memorandum.[12]

See also

Publications

The collected works of John W Tukey, edited by William S Cleveland
About John Tukey

Notes

  1. McCullagh, P. (2003). "John Wilder Tukey. 16 June 1915 - 26 July 2000". Biographical Memoirs of Fellows of the Royal Society. 49: 537. doi:10.1098/rsbm.2003.0032.
  2. Bower, Keith. "Pronunciation of John Tukey". Omnilexica (video). Retrieved 2013-09-06.
  3. Sande, Gordon (July 2001). "Obituary: John Wilder Tukey". Physics Today. 54 (7): 80–81. doi:10.1063/1.1397408.
  4. "John Tukey". IEEE Global History Network. IEEE. Retrieved 18 July 2011.
  5. 1 2 3 Leonhardt, David (28 July 2000). "John Tukey, 85, Statistician; Coined the Word 'Software'". New York Times. Retrieved 24 September 2012.
  6. Claude Shannon (1948). "Bell System Technical Journal". Bell System Technical Journal.
  7. J. H. Friedman; J. W. Turkey (September 1974). "A Projection Pursuit Algorithm for Exploratory Data Analysis" (PDF). IEEE Transactions on Computers. C–23 (9): 881–890. ISSN 0018-9340. doi:10.1109/T-C.1974.224051.
  8. The origin of the 'bit'
  9. J.W. Tukey, "The Teaching of Concrete Mathematics," Amer. Mathematical Monthly, vol. 65, pp. 1–9, 1958: "Today the "software" comprising the carefully planned interpretive routines, compilers, and other aspects of automative programming are at least as important to the modern electronic calculator as its "hardware" of tubes, transistors, wires, tapes, and the like."
  10. Shapiro, Fred (2000). "Origin of the Term Software: Evidence from the JSTOR Electronic Journal Archive" (PDF). IEEE Annals of the History of Computing. 22 (2): 69–71. doi:10.1109/mahc.2000.887997. Archived from the original (PDF) on June 5, 2003. Retrieved 25 June 2013.
  11. Niquette, P. (2006) Softword: Provenance for the Word 'Software'
  12. Carhart, Richard (1953). A survey of the current status of the electronic reliability problem (PDF). Santa Monica, CA: Rand Corporation. p. 69. It will be recalled from Sec. 1.6 that the term personnel was defined to include people who come into direct contact with the hardware, from production to field use, i.e., people who assemble, inspect, pack, ship, handle, install, operate and maintain electronic equipment. In any of these phases personnel failures may result in unoperational gear. As with the hardware factors, there is almost no quantitative data concerning these software or human factors in reliability: How many faults are caused by personnel, why they occur, and what can be done to remove the errors.


This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.