« Loi Gamma » : différence entre les versions
(Page créée avec « ==en construction== == Définition == XXXXXXXXX == Français == ''' XXXXXXXXX ''' == Anglais == ''' Gamma Distribution''' The Gamma distribution is a family of right-s... ») |
m (Remplacement de texte — « DeepAI.org ] » par « DeepAI.org ] Catégorie:DeepAI.org ») |
||
Ligne 17 : | Ligne 17 : | ||
[https://deepai.org/machine-learning-glossary-and-terms/gamma-distribution Source : DeepAI.org ] | [https://deepai.org/machine-learning-glossary-and-terms/gamma-distribution Source : DeepAI.org ] | ||
[[Catégorie:DeepAI.org]] | |||
[[Catégorie:vocabulary]] | [[Catégorie:vocabulary]] |
Version du 15 décembre 2020 à 18:10
en construction
Définition
XXXXXXXXX
Français
XXXXXXXXX
Anglais
Gamma Distribution
The Gamma distribution is a family of right-skewed, continuous probability distributions used in statistics and probability theory. The gamma distribution arises naturally in processes where the waiting times between events are relevant, and can be thought of as a waiting time between Poisson distributed events. The gamma distribution depends on the scale factor and the shape factor. Thus we can say that the gamma distribution is well defined by these two parameters, scale factor and shape factor. When the gamma distribution is represented as the sum of the exponential distribution variables, we can say that shape factor denotes the number of variables present and scale factor becomes the mean of the exponential distribution. There are different cases of gamma distribution, which include exponential, erlang, and chi-squared.
Contributeurs: Imane Meziani, Isaline Hodecent, wiki