Matches in DBpedia 2015-10 for { ?s ?p "Theodore 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, he was awarded a Guggenheim Fellowship in 1946.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.Anderson's 1958 textbook, An Introduction to Multivariate Analysis, 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.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 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."@en }
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- Theodore_Wilbur_Anderson abstract "Theodore 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, he was awarded a Guggenheim Fellowship in 1946.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.Anderson's 1958 textbook, An Introduction to Multivariate Analysis, 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.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 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.".