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  2. Expected value - Wikipedia

    en.wikipedia.org/wiki/Expected_value

    v. t. e. In probability theory, the expected value (also called expectation, expectancy, expectation operator, mathematical expectation, mean, expectation value, or first moment) is a generalization of the weighted average. Informally, the expected value is the mean of the possible values a random variable can take, weighted by the probability ...

  3. Conditional expectation - Wikipedia

    en.wikipedia.org/wiki/Conditional_expectation

    Conditional expectation. In probability theory, the conditional expectation, conditional expected value, or conditional mean of a random variable is its expected value evaluated with respect to the conditional probability distribution. If the random variable can take on only a finite number of values, the "conditions" are that the variable can ...

  4. Law of total expectation - Wikipedia

    en.wikipedia.org/wiki/Law_of_total_expectation

    Law of total expectation. The proposition in probability theory known as the law of total expectation, [1] the law of iterated expectations[2] (LIE), Adam's law, [3] the tower rule, [4] and the smoothing theorem, [5] among other names, states that if is a random variable whose expected value is defined, and is any random variable on the same ...

  5. Informant (statistics) - Wikipedia

    en.wikipedia.org/wiki/Informant_(statistics)

    Informant (statistics) In statistics, the score (or informant[1]) is the gradient of the log-likelihood function with respect to the parameter vector. Evaluated at a particular point of the parameter vector, the score indicates the steepness of the log-likelihood function and thereby the sensitivity to infinitesimal changes to the parameter values.

  6. Three-point estimation - Wikipedia

    en.wikipedia.org/wiki/Three-point_estimation

    The three-point estimation technique is used in management and information systems applications for the construction of an approximate probability distribution representing the outcome of future events, based on very limited information. While the distribution used for the approximation might be a normal distribution, this is not always so.

  7. Two envelopes problem - Wikipedia

    en.wikipedia.org/wiki/Two_envelopes_problem

    The problem concerns two envelopes, each containing an unknown amount of money. The two envelopes problem, also known as the exchange paradox, is a paradox in probability theory. It is of special interest in decision theory and for the Bayesian interpretation of probability theory. It is a variant of an older problem known as the necktie paradox.

  8. Paycom Software (PAYC) Q3 2024 Earnings Call Transcript - AOL

    www.aol.com/paycom-software-payc-q3-2024...

    Image source: The Motley Fool. Paycom Software (NYSE: PAYC) Q3 2024 Earnings Call Oct 30, 2024, 5:00 p.m. ET. Contents: Prepared Remarks. Questions and Answers. Call Participants

  9. Multivariate random variable - Wikipedia

    en.wikipedia.org/wiki/Multivariate_random_variable

    Formally, a multivariate random variable is a column vector (or its transpose, which is a row vector) whose components are random variables on the probability space , where is the sample space, is the sigma-algebra (the collection of all events), and is the probability measure (a function returning each event's probability).