Entropy of a probability distribution/Related Articles: Difference between revisions
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Latest revision as of 17:00, 12 August 2024
- See also changes related to Entropy of a probability distribution, or pages that link to Entropy of a probability distribution or to this page or whose text contains "Entropy of a probability distribution".
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- Continuous probability distribution [r]: Probability distribution where variables can take on arbitrary values in a continuum. [e]
- Discrete probability distribution [r]: Class of probability distributions in which the values that might be observed are restricted to being within a pre-defined list of possible values. [e]
- Probability distribution [r]: Function of a discrete random variable yielding the probability that the variable will have a given value. [e]
- Discrete probability distribution [r]: Class of probability distributions in which the values that might be observed are restricted to being within a pre-defined list of possible values. [e]
- Continuous probability distribution [r]: Probability distribution where variables can take on arbitrary values in a continuum. [e]
- Nuremberg Code [r]: The statement of ethical medical research on human beings that came from the Medical Case trials of Nazi medical personnel, which was part of the Nuremberg Military Tribunals; it forms the basis for the Declaration of Helsinki [e]
- Stochastic convergence [r]: A mathematical concept intended to formalize the idea that a sequence of essentially random or unpredictable events sometimes is expected to settle into a pattern. [e]
- Crash of 1929 [r]: the sharp fall in prices on the New York Stock Exchange that contributed to the severity of the Great Depression [e]