| dc.contributor.author | ZIGHEM Chanez | |
| dc.contributor.author | GHESMOUNE Safa | |
| dc.contributor.author | BENFERDI Chaima | |
| dc.date.accessioned | 2025-04-30T14:09:35Z | |
| dc.date.available | 2025-04-30T14:09:35Z | |
| dc.date.issued | 2023 | |
| dc.identifier.citation | 55 f. | fr_FR |
| dc.identifier.uri | http://depot.umc.edu.dz/handle/123456789/14612 | |
| 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 | 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.title | La distribution Exponentielle-Gamma (3,θ) et ses applications | fr_FR |
| dc.type | Thesis | fr_FR |