A mixed Poisson distribution is a univariate discrete probability distribution in stochastics. It results from assuming that the conditional distribution...
9 KB (673 words) - 19:27, 12 November 2023
In probability theory and statistics, the Poisson distribution is a discrete probability distribution that expresses the probability of a given number...
81 KB (11,248 words) - 16:57, 13 August 2024
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 (2,742 words) - 08:25, 8 August 2024
Hermite distribution The logarithmic (series) distribution The mixed Poisson distribution The negative binomial distribution or Pascal distribution, a generalization...
22 KB (2,609 words) - 12:49, 10 February 2024
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) - 11:45, 26 July 2024
random points form a Poisson process, then the number of points in a region of finite size is a random variable with a Poisson distribution. The process and...
118 KB (15,546 words) - 08:33, 6 August 2024
events in a YLT is the Poisson distribution with constant parameters. An alternative frequency model is the mixed Poisson distribution, which allows for the...
12 KB (1,350 words) - 19:29, 9 July 2024
distribution or a Poisson distribution – or for that matter, the β of the gamma distribution itself. The closely related inverse-gamma distribution is...
59 KB (8,701 words) - 05:20, 9 August 2024
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
only distributions in the canonical non-negative power series family of distributions to possess this property and include the Poisson distribution, negative...
10 KB (1,961 words) - 04:02, 9 July 2024
hypergeometric distribution Poisson distribution, for the number of occurrences of a Poisson-type event in a given period of time Exponential distribution, for...
47 KB (6,403 words) - 14:52, 16 August 2024
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
distribution in an exponential family, a large class of probability distributions that includes the normal, binomial, Poisson and gamma distributions...
31 KB (4,224 words) - 09:57, 24 April 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
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...
32 KB (4,075 words) - 11:50, 28 June 2024
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) - 08:24, 17 April 2024
Student's t distribution (or simply the t distribution) t ν {\displaystyle \ t_{\nu }\ } is a continuous probability distribution that generalizes...
55 KB (6,330 words) - 19:55, 11 August 2024
statistics, the multivariate normal distribution, multivariate Gaussian distribution, or joint normal distribution is a generalization of the one-dimensional...
65 KB (9,519 words) - 19:30, 12 August 2024
exponential distribution. Alpha-skew-normal distribution. Bimodal skew-symmetric normal distribution. A mixture of Conway-Maxwell-Poisson distributions has been...
49 KB (6,321 words) - 06:13, 21 April 2024
distinction is important for discrete distributions. The proper use of tables of the binomial and Poisson distributions depends upon this convention. Moreover...
26 KB (4,117 words) - 09:12, 5 August 2024
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
of Construction via Compound Poisson Random Variables, and Exchangeability Properties of the resulting Gamma Distribution SciencesPo: R package that contains...
41 KB (6,539 words) - 11:38, 8 August 2024
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...
16 KB (2,483 words) - 18:49, 25 November 2023
include binary logistic regression for binary or dichotomous outcomes, Poisson regression for count outcomes, and linear regression for continuous, normally...
11 KB (1,192 words) - 07:42, 24 May 2024
would otherwise be modelled using the Poisson or binomial distribution. Instead of specifying a probability distribution for the data, only a relationship...
4 KB (446 words) - 20:21, 14 September 2023
elliptical distribution is any member of a broad family of probability distributions that generalize the multivariate normal distribution. Intuitively...
15 KB (1,740 words) - 09:19, 12 May 2023
statistics, the skew normal distribution is a continuous probability distribution that generalises the normal distribution to allow for non-zero skewness...
11 KB (1,365 words) - 16:27, 19 July 2024
68–95–99.7 rule (category Normal distribution)
the number of extreme moves of a given magnitude or greater by a Poisson distribution, but simply, if one has multiple 4 standard deviation moves in a...
20 KB (1,624 words) - 17:38, 23 June 2024
joint probability distribution is the corresponding probability distribution on all possible pairs of outputs. The joint distribution can just as well...
19 KB (3,103 words) - 22:00, 19 May 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...
93 KB (13,792 words) - 13:12, 7 July 2024