Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Tulay Saracbasi"'
Autor:
Ayfer Ezgi Yilmaz, Tulay Saracbasi
Publikováno v:
Journal of Data Science. 15:1-24
The global application of the Crystallographic Information Framework (CIF) to the molecular structure domain has been successful over the past 20 years. It is used widely by molecular science journals and databases for submission, validation and depo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a433af8b17f78a1397e8933c04fc65c
https://doi.org/10.6339/jds.201701_15(1).0001
https://doi.org/10.6339/jds.201701_15(1).0001
Autor:
Tulay Saracbasi, Ayfer Ezgi Yilmaz
Publikováno v:
Turkiye Klinikleri Journal of Biostatistics. 7:96-102
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ba954285293adb7dc640c63df6fe5b1
https://doi.org/10.5336/biostatic.2015-45474
https://doi.org/10.5336/biostatic.2015-45474
Autor:
Tulay Saracbasi, Ayfer Ezgi Yilmaz
Publikováno v:
Volume: 48, Issue: 2 592-604
Hacettepe Journal of Mathematics and Statistics
Hacettepe Journal of Mathematics and Statistics
In square contingency tables, analysis of agreement between the row and column classifications is of interest. In such tables, kappa or weighted kappa coefficients are used to summarize the degree of agreement between two raters. In addition to inves
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbbb365b7604e781844c9b95d926db13
https://dergipark.org.tr/tr/pub/hujms/issue/44314/547321
https://dergipark.org.tr/tr/pub/hujms/issue/44314/547321
Autor:
Tulay Saracbasi, Ayfer Ezgi Yilmaz
Publikováno v:
Volume: 45, Issue: 6 1881-1890
Hacettepe Journal of Mathematics and Statistics
Hacettepe Journal of Mathematics and Statistics
Log-linear models are used to analyze the contingency tables. If the variables are ordinal or interval, because the score values affect both the model significance and parameter estimates, selection of score values has importance. Sometimes an interv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acfb86bde88d9484179a89dbef3d77e7
https://doi.org/10.15672/hjms.20159313246
https://doi.org/10.15672/hjms.20159313246
Autor:
DERYA KARAGÖ, TÜLAY SARAÇBASI
Publikováno v:
Revista Colombiana de Estadística, Vol 39, Iss 1, Pp 17-32
In this study, robust Brown-Forsythe and robust Modified Brown-Forsythe ANOVA tests are proposed to take into consideration heteroscedastic and non-normality data sets with outliers. The non-normal data is assumed to be a two parameters Weibull distr
Externí odkaz:
https://doaj.org/article/4279ed005fd04ec4ace896af0d53ae97