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  2. Sheldon M. Ross - Wikipedia

    en.wikipedia.org/wiki/Sheldon_M._Ross

    Sheldon M. Ross is the Daniel J. Epstein Chair and Professor at the USC Viterbi School of Engineering. He is the author of several books in the field of probability. He is the author of several books in the field of probability.

  3. Maximum-minimums identity - Wikipedia

    en.wikipedia.org/wiki/Maximum-minimums_identity

    Download as PDF; Printable version; In other projects Wikidata item; Appearance. ... Ross, Sheldon (2002). A First Course in Probability. Englewood Cliffs: Prentice Hall.

  4. Ross–Littlewood paradox - Wikipedia

    en.wikipedia.org/wiki/Ross–Littlewood_paradox

    A graph that shows the number of balls in and out of the vase for the first ten iterations of the problem. The Ross–Littlewood paradox (also known as the balls and vase problem or the ping pong ball problem) is a hypothetical problem in abstract mathematics and logic designed to illustrate the paradoxical, or at least non-intuitive, nature of infinity.

  5. Probability theory - Wikipedia

    en.wikipedia.org/wiki/Probability_theory

    Probability theory or probability calculus is the branch of mathematics concerned with probability. Although there are several different probability interpretations , probability theory treats the concept in a rigorous mathematical manner by expressing it through a set of axioms .

  6. Law of total covariance - Wikipedia

    en.wikipedia.org/wiki/Law_of_total_covariance

    Some writers on probability call this the "conditional covariance formula" [2] or use other names. Note: The conditional expected values E( X | Z) and E( Y | Z) are random variables whose values depend on the value of Z. Note that the conditional expected value of X given the event Z = z is a function of z.

  7. Probability axioms - Wikipedia

    en.wikipedia.org/wiki/Probability_axioms

    The standard probability axioms are the foundations of probability theory introduced by Russian mathematician Andrey Kolmogorov in 1933. [1] These axioms remain central and have direct contributions to mathematics, the physical sciences, and real-world probability cases. [2] There are several other (equivalent) approaches to formalising ...