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  2. Poisson regression - Wikipedia

    en.wikipedia.org/wiki/Poisson_regression

    v. t. e. In statistics, Poisson regression is a generalized linear model form of regression analysis used to model count data and contingency tables. [1] Poisson regression assumes the response variable Y has a Poisson distribution, and assumes the logarithm of its expected value can be modeled by a linear combination of unknown parameters.

  3. Poisson point process - Wikipedia

    en.wikipedia.org/wiki/Poisson_point_process

    A visual depiction of a Poisson point process starting. In probability theory, statistics and related fields, a Poisson point process (also known as: Poisson random measure, Poisson random point field and Poisson point field) is a type of mathematical object that consists of points randomly located on a mathematical space with the essential feature that the points occur independently of one ...

  4. 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.

  5. Statistical association football predictions - Wikipedia

    en.wikipedia.org/wiki/Statistical_association...

    Statistical Football prediction is a method used in sports betting, to predict the outcome of football matches by means of statistical tools. The goal of statistical match prediction is to outperform the predictions of bookmakers [citation needed][dubious – discuss], who use them to set odds on the outcome of football matches.

  6. Vector generalized linear model - Wikipedia

    en.wikipedia.org/wiki/Vector_generalized_linear...

    Vector generalized additive models. Vector generalized additive models (VGAMs) are a major extension to VGLMs in which the linear predictor is not restricted to be linear in the covariates but is the sum of smoothing functions applied to the : where These are M additive predictors. Each smooth function is estimated from the data.

  7. Quantile regression - Wikipedia

    en.wikipedia.org/wiki/Quantile_regression

    Quantile regression. Quantile regression is a type of regression analysis used in statistics and econometrics. Whereas the method of least squares estimates the conditional mean of the response variable across values of the predictor variables, quantile regression estimates the conditional median (or other quantiles) of the response variable.

  8. Joint probability distribution - Wikipedia

    en.wikipedia.org/wiki/Joint_probability_distribution

    t. e. Given two random variables that are defined on the same probability space, [1] the joint probability distribution is the corresponding probability distribution on all possible pairs of outputs. The joint distribution can just as well be considered for any given number of random variables. The joint distribution encodes the marginal ...

  9. Vietnamese encyclopedias - Wikipedia

    en.wikipedia.org/wiki/Vietnamese_encyclopedias

    Vietnamese encyclopedias are encyclopedias which are written in Vietnamese or are focused on Vietnam-related topics. In Vietnamese, encyclopedia are known as Bách khoa toàn thư, literally meaning "complete book of a hundred subjects". The first work which was considered as an encyclopedia of Vietnam is an 18th-century book Vân đài loại ...