Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Maryam Mohiuddin"'
Publikováno v:
Canadian Journal of Nonprofit and Social Economy Research, Vol 15, Iss 1 (2024)
Experts commonly assert that social innovation is best taught outside of higher education, given that higher education institutions are prone to rigidity traps. Opposing research suggests that social innovation can flourish within institutions of hig
Externí odkaz:
https://doaj.org/article/f2295d7439ad4b4b8fce0e45f285dcff
Publikováno v:
AIMS Mathematics, Vol 8, Iss 10, Pp 22553-22576 (2023)
The Power Rayleigh distribution (PRD) is a new extension of the standard one-parameter Rayleigh distribution. To employ this distribution as a life model in the analysis of reliability and survival data, we focused on the statistical inference for th
Externí odkaz:
https://doaj.org/article/394bb23fceec444b8e2cea5cfaa04ea2
Autor:
Ahmed, Maryam Mohiuddin1 Maryam.mohiuddinahmed@uwaterloo.ca, Roholt, Ross VeLure2 rossvr@umn.edu, Catalano, Jennifer M.3 jmcatalano@gmail.com, Geobey, Sean1 sean.geobey@uwaterloo.ca
Publikováno v:
Canadian Journal of Nonprofit & Social Economy Research / Revue canadienne de recherche sur les OSBL et l'économie sociale. 2024, Vol. 15 Issue 1, p52-72. 21p.
Autor:
R Kannan, Maryam Mohiuddin
Publikováno v:
Indian Journal of Science and Technology. 14:2483-2493
Objectives: To introduce a new two-parameter lifetime distribution that will be more flexible in modeling real lifetime data over the existing common lifetime distributions. Methods: The new two-parameter lifetime distribution is generated by using t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05b99f8b55e718dc211cce3fd7f84f02
https://doi.org/10.17485/ijst/v14i30.598
https://doi.org/10.17485/ijst/v14i30.598