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Theodore Wilbur Anderson

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Title: Theodore Wilbur Anderson  
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Subject: R. A. Fisher Lectureship, List of statisticians, Sampling (statistics), Multivariate statistics, List of important publications in statistics
Collection: 1918 Births, Columbia University Faculty, Fellows of the American Academy of Arts and Sciences, Guggenheim Fellows, Living People, Members of the Norwegian Academy of Science and Letters, Members of the United States National Academy of Sciences, People from Minneapolis, Minnesota, Presidents of the Institute of Mathematical Statistics, Stanford University Department of Economics Faculty, Stanford University Department of Statistics Faculty
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Theodore Wilbur Anderson

Theodore Wilbur Anderson
T. W. Anderson in 1974
Born (1918-06-05)5 June 1918
Minneapolis, Minnesota
Nationality American
Fields Mathematical statistics
Institutions Columbia University, Stanford University
Known for Anderson–Darling test, Anderson–Bahadur algorithm

Theodore (Ted) Wilbur Anderson (born June 5, 1918) is an American mathematician and statistician who has specialized in the analysis of multivariate data. Born in Minneapolis, Minnesota,[1] he was awarded a Guggenheim Fellowship in 1946.[2] He was on the faculty of Columbia University from 1946 until moving to Stanford University in 1967, becoming Emeritus Professor in 1988. He served as Editor of Annals of Mathematical Statistics from 1950 to 1952. He was elected President of the Institute of Mathematical Statistics in 1962. He was elected a Fellow of the American Academy of Arts and Sciences in 1974.[3]

Anderson's 1958[4] textbook, An Introduction to Multivariate Analysis,[5] educated a generation of theorists and applied statisticians; Anderson's book emphasizes hypothesis testing via likelihood ratio tests and the properties of power functions: Admissibility, unbiasedness and monotonicity.[6][7]

Anderson is also known for Anderson–Darling test of whether there is evidence that a given sample of data did not arise from a given probability distribution.

He also framed the Anderson–Bahadur algorithm[8] along with Raghu Raj Bahadur which is used in statistics and engineering for solving binary classification problems when the underlying data have multivariate normal distributions with different covariance matrices.

He is a member of the Norwegian Academy of Science and Letters.[9]

Contents

  • Selected bibliography 1
    • Books 1.1
    • Chapters in books 1.2
  • References 2
  • External links 3

Selected bibliography

Books

  • Anderson, T.W. (2004). An introduction to multivariate statistical analysis (3rd ed.). New York: John Wiley and Sons.  

Chapters in books

  • Anderson, T.W. (1960), "Some Stochastic process models for intelligence test scores", in  

References

  1. ^ http://www.iwms08.ipt.pt/anderson.htm
  2. ^ "Search Results: Theodore Anderson". John Simon Guggenheim Memorial Foundation. Retrieved 18 April 2011. 
  3. ^ "Book of Members, 1780-2010: Chapter A". American Academy of Arts and Sciences. Retrieved 18 April 2011. 
  4. ^ Täonu Kollo; Dietrich von Rosen (1 January 2005). Advanced Multivariate Statistics with Matrices. Springer. pp. 13–.  
  5. ^ Anderson, T.W. (2004). An introduction to multivariate statistical analysis (3rd ed.). New York: John Wiley and Sons.  
  6. ^  (Pages 560–561)
  7. ^ Schervish, Mark J. (November 1987). "A Review of Multivariate Analysis". Statistical Science 2 (4): 396–413.  
  8. ^ Classification into two multivariate normal distributions with different covariance matrices (1962), T W Anderson, R R Bahadur, Annals of Mathematical Statistics
  9. ^ "Gruppe 8: Samfunnsfag (herunder sosiologi, statsvitenskap og økonomi)" (in Norwegian).  

External links


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