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of 43
pro vyhledávání: '"Davarzani, Nasser"'
Autor:
Davarzani, Nasser, Parsian, Ahmad
Publikováno v:
In Journal of Statistical Planning and Inference 2011 141(4):1455-1462
Autor:
Davarzani, Nasser1,2, Hutchins, Gordon G. A.3, West, Nicholas P.3, Hewitt, Lindsay C.1, Nankivell, Matthew4, Cunningham, David5, Allum, William H.6, Smyth, Elizabeth5, Valeri, Nicola5,7, Langley, Ruth E.4, Grabsch, Heike I.1,3 h.grabsch@maastrichtuniversity.nl
Publikováno v:
Histopathology. Jun2018, Vol. 72 Issue 7, p1180-1188. 9p. 1 Diagram, 2 Charts, 3 Graphs.
Autor:
Davarzani, Nasser1 n.davarzani@maastrichtuniversity.nl, Achcar, Jorge Alberto2 achcar@fmrp.usp.br, Smirnov, Evgueni Nikolaevich1 maastrichtuniversity.nljchan@maths.usyd.edu.au, Peeters, Ralf1 ralf.peeters@maastrichtuniversity.nl
Publikováno v:
Journal of Data Science. 2015, Vol. 13 Issue 4, p755-770. 16p.
Inference for the trivariate Marshall-Olkin-Weibull distribution in presence of right-censored data.
Autor:
PUZIOL DE OLIVEIRA, RICARDO, DE OLIVEIRA PERES, MARCOS VINICIUS, ACHCAR, JORGE ALBERTO, DAVARZANI, NASSER
Publikováno v:
Chilean Journal of Statistics (ChJS); Dec2020, Vol. 11 Issue 2, p95-116, 22p
Autor:
Davarzani, Nasser, Wijk, Sandra Sanders-van, Karel, Joël, Maeder, Micha T., Leibundgut, Gregor, Gutmann, Marc, Pfisterer, Matthias E., Rickenbacher, Peter, Peeters, Ralf, Rocca, Hans-Peter Brunner-La
Publikováno v:
Journal of Cardiac Failure.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=base_oa_____::f04e41660b0254844adafd0055ab17e8
Akademický článek
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Autor:
Davarzani, Nasser, Peeters, Ralf, Smirnov, Evgueni, Karel, Joël, Brunner-la Rocca, Hans-peter, Boström, H, Knobbe, A, Soares, C, Papapetrou, P
Publikováno v:
IDA 2016: Advances in Intelligent Data Analysis XV, 14-25
STARTPAGE=14;ENDPAGE=25;TITLE=IDA 2016: Advances in Intelligent Data Analysis XV
Lecture Notes in Computer Science ISBN: 9783319463483
IDA
STARTPAGE=14;ENDPAGE=25;TITLE=IDA 2016: Advances in Intelligent Data Analysis XV
Lecture Notes in Computer Science ISBN: 9783319463483
IDA
The logistic generalized estimating equations (logistic-gee) models have been extensively used for analyzing clustered binary data. However, assessing the goodness-of-fit and predictability of these models is problematic due to the fact that no likel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::455c29a6a0bf794d4e9e24a3f865a5e0
https://cris.maastrichtuniversity.nl/en/publications/91b10424-900e-43ab-abe3-7535432e81f9
https://cris.maastrichtuniversity.nl/en/publications/91b10424-900e-43ab-abe3-7535432e81f9
Autor:
Davarzani, Nasser
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::600090b01cbeb61b30c6a63ea3c0e38a
http://www.jds-online.com/volume-14-number-4-october-2016
http://www.jds-online.com/volume-14-number-4-october-2016
Autor:
COELHO-BARROS, EMÍLIO A., ACHCAR, JORGE A., MARTINEZ, EDSON Z., DAVARZANI, NASSER, GRABSCH, HEIKE I.
Publikováno v:
Colombian Journal of Statistics / Revista Colombiana de Estadística; Jul2019, Vol. 42 Issue 2, p225-243, 19p
Publikováno v:
Journal of Statistical Theory and Practice; March 2019, Vol. 13 Issue: 1 p1-17, 17p