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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 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.

  4. Battle of Dien Bien Phu - Wikipedia

    en.wikipedia.org/wiki/Battle_of_Dien_Bien_Phu

    Battle of Dien Bien Phu. The Battle of Điện Biên Phủ was a climactic confrontation of the First Indochina War that took place between 13 March and 7 May 1954. It was fought between the French Union 's colonial Far East Expeditionary Corps and Viet Minh communist revolutionaries.

  5. 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 ...

  6. Conway–Maxwell–Poisson distribution - Wikipedia

    en.wikipedia.org/wiki/Conway–Maxwell–Poisson...

    Conway–Maxwell–Poisson. In probability theory and statistics, the Conway–Maxwell–Poisson (CMP or COM–Poisson) distribution is a discrete probability distribution named after Richard W. Conway, William L. Maxwell, and Siméon Denis Poisson that generalizes the Poisson distribution by adding a parameter to model overdispersion and ...

  7. Fixed-effect Poisson model - Wikipedia

    en.wikipedia.org/wiki/Fixed-effect_Poisson_model

    Fixed-effect Poisson model. In statistics, a fixed-effect Poisson model is a Poisson regression model used for static panel data when the outcome variable is count data. Hausman, Hall, and Griliches pioneered the method in the mid 1980s. Their outcome of interest was the number of patents filed by firms, where they wanted to develop methods to ...

  8. Regression analysis - Wikipedia

    en.wikipedia.org/wiki/Regression_analysis

    First, regression analysis is widely used for prediction and forecasting, where its use has substantial overlap with the field of machine learning. Second, in some situations regression analysis can be used to infer causal relationships between the independent and dependent variables.

  9. Encyclopedic Dictionary of Vietnam - Wikipedia

    en.wikipedia.org/wiki/Encyclopedic_Dictionary_of...

    Từ điển bách khoa Việt Nam ( lit: Encyclopaedic Dictionary of Vietnam) is a state-sponsored Vietnamese-language encyclopedia that was first published in 1995. It has four volumes consisting of 40,000 entries, the final of which was published in 2005. [1] The encyclopedia was republished in 2011. It is the first state encyclopedia of the ...