Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Betrand Fesuh Nono"'
Publikováno v:
Swiss Journal of Economics and Statistics, Vol 160, Iss 1, Pp 1-17 (2024)
Abstract In Cameroon, major inequalities exist in women’s access to antenatal care (ANC), yet underlying circumstance drivers remain understudied. Using recently available Demographic and Health Survey data, we conducted multilevel model and spatia
Externí odkaz:
https://doaj.org/article/eac6104ec7b04b1f96026ff92d11772b
Autor:
Arsène Brunelle Sandie, Jules Brice Tchatchueng Mbougua, Anne Esther Njom Nlend, Sokhna Thiam, Betrand Fesuh Nono, Ndèye Awa Fall, Diarra Bousso Senghor, El Hadji Malick Sylla, Cheikh Mbacké Faye
Publikováno v:
BMC Infectious Diseases, Vol 22, Iss 1, Pp 1-11 (2022)
Abstract Background The Human Immunodeficiency Virus(HIV) infection prevalence in Cameroon has decreased from $$5.28\%$$ 5.28 % in 2004 to $$2.8\%$$ 2.8 % in 2018. However, this decrease in prevalence does not show disparities especially in terms of
Externí odkaz:
https://doaj.org/article/8da4312f251448049edd5d2d96d1cdb2
Autor:
E.-P. Ndong Nguéma, Betrand Fesuh Nono
Publikováno v:
Mathematics and Statistics. 10:1247-1263
Publikováno v:
Open Journal of Statistics. 11:558-605
Today, Linear Mixed Models (LMMs) are fitted, mostly, by assuming that random effects and errors have Gaussian distributions, therefore using Maximum Likelihood (ML) or REML estimation. However, for many data sets, that double assumption is unlikely
Autor:
Josiane Etang, Betrand Fesuh Nono, Parfait Awono-Ambene, Jude Bigoga, Wolfgang Ekoko Eyisap, Michael Piameu, Jean-Claude Toto, Eugene Patrice Ndong Nguema, Henri Gwet, Etienne Fondjo, Abraham Peter Mnzawa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57c671172f8ac3c38a9878a6d1d56f74
https://doi.org/10.5772/65463
https://doi.org/10.5772/65463