A mixed Poisson distribution is a univariate discrete probability distribution in stochastics. It results from assuming that the conditional distribution...
10 KB (1,169 words) - 19:10, 6 March 2025
probability theory and statistics, the Poisson distribution (/ˈpwɑːsɒn/) is a discrete probability distribution that expresses the probability of a given...
81 KB (11,215 words) - 08:39, 14 May 2025
Hermite distribution The logarithmic (series) distribution The mixed Poisson distribution The negative binomial distribution or Pascal distribution, a generalization...
22 KB (2,620 words) - 07:59, 2 May 2025
has a Poisson distribution, and assumes the logarithm of its expected value can be modeled by a linear combination of unknown parameters. A Poisson regression...
18 KB (2,750 words) - 22:41, 6 April 2025
probability distributions where the parametrized distribution F {\displaystyle F} is the Poisson distribution is also called mixed Poisson distribution. Mixture...
19 KB (2,698 words) - 12:29, 27 April 2025
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...
117 KB (15,356 words) - 21:43, 4 May 2025
A mixed binomial process is a special point process in probability theory. They naturally arise from restrictions of (mixed) Poisson processes bounded...
3 KB (510 words) - 09:04, 7 November 2023
hypergeometric distribution Poisson distribution, for the number of occurrences of a Poisson-type event in a given period of time Exponential distribution, for...
48 KB (6,688 words) - 17:43, 6 May 2025
Poisson distribution Poisson binomial distribution Poisson clumping Super-Poissonian distribution Poisson process Compound Poisson process Mixed Poisson process...
3 KB (218 words) - 17:05, 20 March 2022
distribution or a Poisson distribution – or for that matter, the λ of the gamma distribution itself. The closely related inverse-gamma distribution is...
66 KB (9,097 words) - 21:22, 6 May 2025
distribution in an exponential family, a large class of probability distributions that includes the normal, binomial, Poisson and gamma distributions...
31 KB (4,246 words) - 04:22, 20 April 2025
events in a YLT is the Poisson distribution with constant parameters. An alternative frequency model is the mixed Poisson distribution, which allows for the...
13 KB (1,362 words) - 21:11, 28 August 2024
Exponential distribution Gamma distribution Geometric distribution Hypoexponential distribution Lévy distribution Poisson distribution Stable distribution Mixture...
6 KB (1,451 words) - 23:36, 12 September 2023
Zero-inflated model (category Poisson point processes)
the distribution of the counts is often represented using a Poisson distribution or a negative binomial distribution. Hilbe notes that "Poisson regression...
14 KB (1,928 words) - 20:39, 26 April 2025
Kolmogorov–Smirnov test (redirect from Kolmogorov distribution)
mixed (see Section 2.2). In the two-sample case (see Section 3), the distribution considered under the null hypothesis is a continuous distribution but...
31 KB (3,909 words) - 09:43, 9 May 2025
Skewness (redirect from Skewed distribution)
unimodal distribution (a distribution with a single peak), negative skew commonly indicates that the tail is on the left side of the distribution, and positive...
28 KB (3,968 words) - 13:28, 18 April 2025
only distributions in the canonical non-negative power series family of distributions to possess this property and include the Poisson distribution, negative...
10 KB (1,958 words) - 18:40, 26 December 2024
Dirac delta function (redirect from Dirac delta distribution)
(infinitesimal version of Cauchy distribution) explicitly appears in an 1827 text of Augustin-Louis Cauchy. Siméon Denis Poisson considered the issue in connection...
96 KB (14,230 words) - 04:36, 14 May 2025
Hierarchical generalized linear model (section Models with different distributions and link functions)
interpretation. For example, if the distribution of y ∣ u {\displaystyle y\mid u} is Poisson with certain mean, the distribution of u {\displaystyle u} is Gamma...
10 KB (1,116 words) - 16:44, 2 January 2025
exponential distribution. Alpha-skew-normal distribution. Bimodal skew-symmetric normal distribution. A mixture of Conway-Maxwell-Poisson distributions has been...
50 KB (6,390 words) - 18:36, 6 March 2025
distinction is important for discrete distributions. The proper use of tables of the binomial and Poisson distributions depends upon this convention. Moreover...
26 KB (3,993 words) - 17:49, 18 April 2025
The uniqueness theorem for Poisson's equation states that, for a large class of boundary conditions, the equation may have many solutions, but the gradient...
6 KB (900 words) - 09:52, 1 April 2025
Central limit theorem (redirect from Central limit distribution theorem)
Normal distribution Tweedie convergence theorem – a theorem that can be considered to bridge between the central limit theorem and the Poisson convergence...
67 KB (9,171 words) - 16:52, 28 April 2025
generalized linear mixed model models. The Python Statsmodels package supports binomial and poisson implementations. The Julia package MixedModels.jl provides...
8 KB (834 words) - 00:00, 26 March 2025
Cox process (redirect from Doubly stochastic Poisson process)
process, also known as a doubly stochastic Poisson process is a point process which is a generalization of a Poisson process where the intensity that varies...
3 KB (398 words) - 16:47, 25 January 2022
In statistics, a sampling distribution or finite-sample distribution is the probability distribution of a given random-sample-based statistic. For an arbitrarily...
7 KB (731 words) - 13:59, 4 April 2025
statistics, the multivariate normal distribution, multivariate Gaussian distribution, or joint normal distribution is a generalization of the one-dimensional...
65 KB (9,594 words) - 15:19, 3 May 2025
Empirical Bayes method (section Poisson–gamma model)
(conditional on θ i {\displaystyle \theta _{i}} ) is specified by a Poisson distribution, p ( y i ∣ θ i ) = θ i y i e − θ i y i ! {\displaystyle p(y_{i}\mid...
18 KB (2,737 words) - 13:19, 6 February 2025
statistics, the probability distribution of a mixed random variable consists of both discrete and continuous components. A mixed random variable does not...
12 KB (1,379 words) - 18:37, 1 May 2025
scale—which are better described using a skewed distribution such as the log-normal distribution or Poisson distribution (although GLMs are not used for log-normal...
75 KB (10,482 words) - 17:25, 13 May 2025