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  2. Poisson distribution - Wikipedia

    en.wikipedia.org/wiki/Poisson_distribution

    The Poisson distribution is an appropriate model if the following assumptions are true: k is the number of times an event occurs in an interval and k can take values 0, 1, 2, ... . The occurrence of one event does not affect the probability that a second event will occur. That is, events occur independently.

  3. Statistical distance - Wikipedia

    en.wikipedia.org/wiki/Statistical_distance

    Statistical distance. In statistics, probability theory, and information theory, a statistical distance quantifies the distance between two statistical objects, which can be two random variables, or two probability distributions or samples, or the distance can be between an individual sample point and a population or a wider sample of points.

  4. AP Biology - Wikipedia

    en.wikipedia.org/wiki/AP_Biology

    Russian Language and Culture (discontinued 2010) v. t. e. Advanced Placement ( AP) Biology (also known as AP Bio) is an Advanced Placement biology course and exam offered by the College Board in the United States. For the 2012–2013 school year, the College Board unveiled a new curriculum with a greater focus on "scientific practices".

  5. Advanced Placement - Wikipedia

    en.wikipedia.org/wiki/Advanced_Placement

    Advanced Placement ( AP) [ 4] is a program in the United States and Canada created by the College Board. AP offers undergraduate university-level curricula and examinations to high school students. Colleges and universities in the US and elsewhere may grant placement and course credit to students who obtain qualifying scores on the examinations.

  6. Similarity measure - Wikipedia

    en.wikipedia.org/wiki/Similarity_measure

    Similarity measure. In statistics and related fields, a similarity measure or similarity function or similarity metric is a real-valued function that quantifies the similarity between two objects. Although no single definition of a similarity exists, usually such measures are in some sense the inverse of distance metrics: they take on large ...

  7. Posterior probability - Wikipedia

    en.wikipedia.org/wiki/Posterior_probability

    Posterior probability is a conditional probability conditioned on randomly observed data. Hence it is a random variable. For a random variable, it is important to summarize its amount of uncertainty. One way to achieve this goal is to provide a credible interval of the posterior probability.

  8. Hellinger distance - Wikipedia

    en.wikipedia.org/wiki/Hellinger_distance

    Hellinger distance. In probability and statistics, the Hellinger distance (closely related to, although different from, the Bhattacharyya distance) is used to quantify the similarity between two probability distributions. It is a type of f -divergence. The Hellinger distance is defined in terms of the Hellinger integral, which was introduced by ...

  9. Mahalanobis distance - Wikipedia

    en.wikipedia.org/wiki/Mahalanobis_distance

    The Mahalanobis distance is a measure of the distance between a point and a distribution , introduced by P. C. Mahalanobis in 1936. [1] The mathematical details of Mahalanobis distance has appeared in the Journal of The Asiatic Society of Bengal. [2] Mahalanobis's definition was prompted by the problem of identifying the similarities of skulls ...