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Intro
American mathematician
A.K.A.
John Wilder Tukey John W. Tukey John W Tukey
Gender
Male
Place of birth
New Bedford, USA
Place of death
New Brunswick, USA
Age
85 years
The details (from wikipedia)

Biography

John Wilder Tukey (/ˈtki/; June 16, 1915 – July 26, 2000) was an American mathematician best known for development of the Fast Fourier Transform (FFT) algorithm and box plot. The Tukey range test, the Tukey lambda distribution, the Tukey test of additivity, and the Teichmüller–Tukey lemma all bear his name. He is also credited with coining the term 'bit'.

Biography

Tukey was born in New Bedford, Massachusetts, in 1915 to a Latin teacher father and a private tutor mother. He was mainly taught by his mother and only went to regular classes for special subjects like French. Tukey 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.

During World War II, Tukey worked at the Fire Control Research Office and collaborated with Samuel Wilks and William Cochran. He is claimed to have helped design the U-2 spy plane. 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.

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.

From 1960 to 1980, Tukey helped design the NBC television network polls used to predict and analyze elections. He was also a consultant to the Educational Testing Service, the Xerox Corporation and Merck & Company.

He was awarded the National Medal of Science by President Nixon in 1973. 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" in 1947.

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, Tukey's lemma, and the Tukey window 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.

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". 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" 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. This led many to credit Tukey with coining the term, particularly in obituaries published that same year, 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. 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.

Publications

The collected works of John W Tukey, edited by William S. Cleveland
  • Brillinger, David R., ed. (1984). Volume I: Time series, 1949–1964. Wadsworth, Inc. ISBN 978-0-534-03303-3. OCLC 10998116.
  • Brillinger, David R., ed. (1985). Volume II: Time series, 1965–1984. Wadsworth, Inc. ISBN 978-0-534-03304-0. OCLC 159731367.
  • Jones, Lyle V., ed. (1985). Volume III: Philosophy and principles of data analysis, 1949–1964. Wadsworth & Brooks/Cole. ISBN 978-0-534-03305-7. OCLC 159731367.
  • Jones, Lyle V., ed. (1986). Volume IV: Philosophy and principles of data analysis, 1965–1986. Wadsworth & Brooks/Cole. ISBN 978-0-534-05101-3. OCLC 165832503.
  • Cleveland, William S., ed. (1988). Volume V: Graphics, 1965–1985. Wadsworth & Brooks/Cole. ISBN 978-0-534-05102-0. OCLC 230023465.
  • Mallows, Colin L., ed. (1990). Volume VI: More mathematical, 1938–1984. Wadsworth & Brooks/Cole. ISBN 978-0-534-05103-7. OCLC 232966724.
  • Cox, David R., ed. (1992). Volume VII: Factorial and ANOVA, 1949–1962. Wadsworth & Brooks/Cole. ISBN 978-0-534-05104-4. OCLC 165366083.
  • Braun, Henry I., ed. (1994). Volume VIII: Multiple comparisons, 1949–1983. Chapman & Hall/CRC Press. ISBN 978-0-412-05121-0. OCLC 165099761.
About John Tukey
The contents of this page are sourced from Wikipedia article. The contents are available under the CC BY-SA 4.0 license.
Frequently Asked Questions
FAQ
Who is John Tukey?
John Tukey was an American mathematician and statistician who made significant contributions to the field of statistics. He is known for developing many statistical techniques that are widely used today, such as the fast Fourier transform (FFT) algorithm and box plots.
What are some of John Tukey's notable achievements?
Some of John Tukey's notable achievements include the development of the FFT algorithm, which revolutionized signal processing and data analysis; the popularization of exploratory data analysis (EDA), which emphasizes the use of graphical techniques to understand and summarize datasets; and the creation of box plots, a visual tool for displaying summary statistics and identifying outliers in data.
Did John Tukey receive any awards for his work?
Yes, John Tukey received numerous awards and honors for his contributions to the field of statistics. Some of the notable awards he received include the National Medal of Science, the Samuel S. Wilks Memorial Medal, and the IEEE Medal of Honor. He was also elected to the National Academy of Sciences in 1960.
What is exploratory data analysis (EDA) and why is it important?
Exploratory data analysis (EDA) is an approach to analyzing data that focuses on summarizing and visualizing the main characteristics of a dataset. It involves using various graphical techniques, such as scatter plots, box plots, and histograms, to gain insight into the data and identify patterns, trends, and outliers. EDA is important because it helps analysts understand their data, generate hypotheses, and make more informed decisions based on the data.
What is the fast Fourier transform (FFT) algorithm?
The fast Fourier transform (FFT) algorithm is an efficient algorithm for computing the discrete Fourier transform (DFT) of a sequence or array of data points. The DFT is a mathematical transform that decomposes a function of time (or space) into its constituent frequencies. The FFT algorithm was developed by John Tukey in the 1960s and is widely used in various fields, including signal processing, telecommunications, and data analysis. Its speed and efficiency make it an essential tool for working with large datasets.
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