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An Entity of Type : rdac:C10001, within Data Space : data.idref.fr associated with source document(s)

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dc:subject
  • Probabilities
  • Mathematics
  • Statistics
  • Distribution (Probability theory)
  • Mathematical statistics
  • Probability Theory and Stochastic Processes
  • Statistical Theory and Methods
  • Probabilités
  • Distribution (théorie des probabilités)
  • Statistics, general
  • Nombres, Théorie probabiliste des
  • Probabilistic number theory
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  • Probability, a graduate course
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dc:title
  • Probability, a graduate course
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  • Like its predecessor, this book starts from the premise that, rather than being a purely mathematical discipline, probability theory is an intimate companion of statistics. The book starts with the basic tools, and goes on to cover a number of subjects in detail, including chapters on inequalities, characteristic functions and convergence. This is followed by a thorough treatment of the three main subjects in probability theory: the law of large numbers, the central limit theorem, and the law of the iterated logarithm. After a discussion of generalizations and extensions, the book concludes with an extensive chapter on martingales. The new edition is comprehensively updated, including some new material as well as around a dozen new references
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  • Text
http://iflastandar...bd/elements/P1001
rdaw:P10219
  • 2005
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