| dc.contributor.author |
BENFERDI Chaima |
|
| dc.contributor.author |
GHESMOUNE Safa |
|
| dc.contributor.author |
ZIGHEM Chanez |
|
| dc.date.accessioned |
2025-04-30T12:00:47Z |
|
| dc.date.available |
2025-04-30T12:00:47Z |
|
| dc.date.issued |
2023 |
|
| dc.identifier.citation |
55 f. |
fr_FR |
| dc.identifier.uri |
http://depot.umc.edu.dz/handle/123456789/14611 |
|
| dc.description.abstract |
Statistical distributions are widely applied to describe di§erent real world phenomena. As a result of the usefulness of statistical distributions, many researchers have
studied their theory extensively and new distributions are developed. The quest for
developing more e¢ cient and áexible probability distribution still remain strong in
the Öeld of probability theory and statistics.
In this memoir, we introduce a probability distribution called ExponentialGamma distribution (3; ) and derive appropriate expressions for its statistical
properties. |
fr_FR |
| dc.language.iso |
fr |
fr_FR |
| dc.publisher |
Université Frères Mentouri Constantine 1 |
fr_FR |
| dc.subject |
Mathématiques : Mathématiques appliquées à l’économie et la finance |
fr_FR |
| dc.subject |
Fonction de taux de hasard |
fr_FR |
| dc.subject |
Moments |
fr_FR |
| dc.subject |
Entropie |
fr_FR |
| dc.subject |
Courbe de Lorenz |
fr_FR |
| dc.subject |
Estimateur de Maximum de Vraissemblance |
fr_FR |
| dc.title |
La distribution Exponentielle-Gamma (3,θ) et ses applications. |
fr_FR |
| dc.type |
Thesis |
fr_FR |