Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Mohamed Fihri"'
Publikováno v:
Revstat Statistical Journal, Vol 19, Iss 3 (2021)
In this paper, locally asymptotically optimal (in the H´ajek-Le Cam sense) parametric, pseudo-Gaussian and rank-based procedures are proposed for the problem of testing randomness against first-order superdiagonal bilinear panel dependence (in large
Externí odkaz:
https://doaj.org/article/8701d984a0d64a15a5d2de033facce74
Autor:
Joaira Bakkach, Mohamed Mansouri, Touria Derkaoui, Ali Loudiyi, Mohamed Fihri, Samia Hassani, Amina Barakat, Naima Ghailani Nourouti, Mohcine Bennani Mechita
Publikováno v:
BMC Women's Health, Vol 17, Iss 1, Pp 1-9 (2017)
Abstract Background Literature data reported a higher frequency of breast cancer in young women (BCYW) in developing countries. BCYW is associated with delayed diagnosis, aggressive biology and poor prognosis. However, our knowledge of biological pro
Externí odkaz:
https://doaj.org/article/ef94d6fcb5bb4dd88bc274238823fb12
Publikováno v:
Journal of Nonparametric Statistics. 32:367-402
Random coefficient regression models are the regression counterparts of the classical random effects models in Analysis of Variance and panel data analysis. While several heuristic methods have bee...
Publikováno v:
Electron. J. Statist. 14, no. 2 (2020), 4207-4243
ECARES Working Papers; 2018-39
ECARES Working Papers; 2018-39
Random coefficient regression (RCR) models are the regression versions of random effects models in analysis of variance and panel data analysis. Optimal detection of the presence of random coefficients (equivalently, optimal testing of the hypothesis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3410f118a7c398c486247e3255948e2f
https://projecteuclid.org/euclid.ejs/1607569250
https://projecteuclid.org/euclid.ejs/1607569250
Autor:
Salma Gaou, Mohamed Fihri
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030366735
Information retrieval systems help to have search results page (also called SERP) is a web page automatically generated by a search engine. The displayed search results are generated automatically according to the keywords entered by the net surfers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bab798ddde0c0a6a4e16b85b2c19562
https://doi.org/10.1007/978-3-030-36674-2_6
https://doi.org/10.1007/978-3-030-36674-2_6
Publikováno v:
Discrete & Continuous Dynamical Systems - S. 11:21-34
The purpose of this paper is to establish a new numerical approach to solve, in two dimensions, a semilinear reaction diffusion equation combining finite volume method and Schur complement method. We applied our method for q = 2 non-overlapping subdo
Autor:
Mohcine Bennani Mechita, Samia Hassani, Touria Derkaoui, Joaira Bakkach, Mohamed Mansouri, Naima Ghailani Nourouti, Mohamed Fihri, Amina Barakat, Ali Loudiyi
Publikováno v:
BMC Women's Health, Vol 17, Iss 1, Pp 1-9 (2017)
BMC Women's Health
BMC Women's Health
Background Literature data reported a higher frequency of breast cancer in young women (BCYW) in developing countries. BCYW is associated with delayed diagnosis, aggressive biology and poor prognosis. However, our knowledge of biological profile, tre
Publikováno v:
Journal of Statistics Applications & Probability. 5:233-247
Autor:
Bouchra El Yemlahi, Mohamed Mansouri, Naima Ghailani Nourouti, Ali Loudiyi, Fatima Zahra Alaoui, Amina Barakat, Mohcine Bennani Mechita, Touria Derkaoui, Joaira Bakkach, Mohamed Fihri, Hassan Bihri
Publikováno v:
BMC Women's Health
Background Triple Negative Breast Cancer (TNBC) is defined by a lack of estrogen and progesterone receptor gene expression and by the absence of overexpression on HER2. It is associated to a poor prognosis. We propose to analyze the clinicopathologic
Publikováno v:
Scopus-Elsevier
In this paper, locally asymptotically optimal (in the H´ajek-Le Cam sense) parametric, pseudo-Gaussian and rank-based procedures are proposed for the problem of testing randomness against first-order superdiagonal bilinear panel dependence (in large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88f40de67b3f2dd515b8962d18244249
http://www.scopus.com/inward/record.url?eid=2-s2.0-85112752219&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85112752219&partnerID=MN8TOARS