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Herbert Robbins

Origem: Wikipédia, a enciclopédia livre.
Herbert Robbins
Nascimento 12 de janeiro de 1915
New Castle
Morte 12 de fevereiro de 2001 (86 anos)
Princeton
Sepultamento Cemitério de Princeton
Cidadania Estados Unidos
Alma mater
Ocupação matemático, estatístico, professor universitário
Prêmios
  • Bolsa Guggenheim (1952)
  • honorary doctor of Purdue University (1974)
  • Fellow of the Institute of Mathematical Statistics (1948)
Empregador(a) Universidade de Nova Iorque, Universidade da Carolina do Norte em Chapel Hill, Instituto de Estudos Avançados de Princeton, Reserva da Marinha dos Estados Unidos, Instituto de Estudos Avançados de Princeton, Universidade Columbia, Universidade de Michigan, Universidade Columbia, Imperial College London, Universidade Columbia, Universidade Rutgers
Obras destacadas What Is Mathematics?, Teorema de Robbins, Hsu–Robbins–Erdős theorem, Robbins' problem, álgebra de Robbins, método do gradiente estocástico, Robbins lemma

Herbert Ellis Robbins (New Castle, 12 de janeiro de 1915Princeton, 12 de fevereiro de 2001) foi um matemático e estatístico estadunidense. Foi pesquisador em topologia, teoria da medida, estatística e uma variedade de outros tópicos.

Foi co-autor com Richard Courant de What is Mathematics?. O teorema de Robbins em teoria dos grafos é denominado em sua memória.

Foi membro da Academia Nacional de Ciências dos Estados Unidos e da Academia de Artes e Ciências dos Estados Unidos.

Publicações selecionadas

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Livros
  • What is Mathematics? An Elementary Approach to Ideas and Methods, with Richard Courant, London: Oxford University Press, 1941.
  • "Great Expectations: The Theory of Optimal Stopping", with Y. S. Chow and David Siegmund Boston: Houghton Mifflin, 1971.
  • "Introduction to Statistics", with John Van Ryzin, Science Research Associates, 1975.
Artigos selecionados
  • A theorem on graphs with an application to a problem on traffic control, American Mathematical Monthly, vol. 46 (1939), pp. 281–283.
  • The central limit theorem for dependent random variables, with Wassily Hoeffding, Duke Mathematical Journal, vol. 15 (1948), pp. 773–780.
  • A stochastic approximation method, with Sutton Monro, Annals of Mathematical Statistics, vol. 22, no. 3 (September 1951), pp. 400–407.
  • Some aspects of the sequential design of experiments, in "Bulletin of the American Mathematical Society", vol. 58, 1952.
  • Two-stage procedures for estimating the difference between means, with Ghurye, SG, "Biometrika", 41(1), 146–152, 1954.
  • The strong law of large numbers when the first moment does not exist, with C. Derman, in the Proceedings of the National Academy of Sciences of the United States of America, vol. 41, 1955.
  • An empirical Bayes approach to statistics, in Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability, Jerzy Neyman, ed., vol. 1, Berkeley, California: University of California Press, 1956, pp. 157–163.
  • On the asymptotic theory of fixed-width sequential confidence intervals for the mean, with Chow, Y.S., "The Annals of Mathematical Statistics", 36(2), 457–462, 1965.
  • Statistical methods related to the law of the iterated logarithm, "The Annals of Mathematical Statistics", 41(5), 1397–1409, 1970.
  • Optimal stopping, "The American Mathematical Monthly", 77(4), 333–343, 1970.
  • A convergence theorem for nonnegative almost supermartingales and some applications, with David Siegmund, "Optimizing methods in statistics", 233–257, 1971.
  • Sequential tests involving two populations, with David Siegmund, "Journal of the American Statistical Association, 132–139, 1974.
  • A class of dependent random variables and their maxima, with Lai, T.L. "Probability Theory and Related Fields", 42(2), 89–111, 1978
  • Asymptotically efficient adaptive allocation rules with TL Lai, in "Advances in applied mathematics", vol. 6, 1985.
  • Sequential choice from several populations with M. N. Katehakis, in the Proceedings of the National Academy of Sciences of the United States of America, vol. 92, 1995.

Ligações externas

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