An overview of Turkish lignite qualities by logistic analysis

dc.authorscopusid14619912500
dc.authorscopusid55758786900
dc.authorscopusid15122075600
dc.contributor.authorTutmez B.
dc.contributor.authorHozatli B.
dc.contributor.authorCengiz A.K.
dc.date.accessioned2024-08-04T19:59:39Z
dc.date.available2024-08-04T19:59:39Z
dc.date.issued2013
dc.departmentİnönü Üniversitesien_US
dc.description.abstractAs an indispensable energy source, lignite is almost exclusively used in power generation in Turkey. To assess the quality level of Turkish lignite, a multivariate statistical analysis was conducted. The relationship among the lignite quality parameters has been investigated using a response method that is the logistic regression method. The analysis determines the effect of multiple predictor variables such as moisture, ash and sulphur presented simultaneously to predict membership of the two calorific value categories. By this way, a reliable binary response regression structure was constructed considering all the lignite fields in Turkey. Both the experiments on identifying the influential measurements and the measure of goodness of fit indicated that the overall model has a big capability to exhibit the relationship among the parameters of the Turkish lignite. © 2013 The Editorial Office of Journal of Coal Science and Engineering (China) and Springer-Verlag Berlin Heidelberg.en_US
dc.identifier.doi10.1007/s12404-013-0201-9
dc.identifier.endpage118en_US
dc.identifier.issn1006-9097
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-84878731464en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage113en_US
dc.identifier.urihttps://doi.org/10.1007/s12404-013-0201-9
dc.identifier.urihttps://hdl.handle.net/11616/90792
dc.identifier.volume19en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofJournal of Coal Science and Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectcalorific valueen_US
dc.subjectclassification ratioen_US
dc.subjectligniteen_US
dc.subjectlogistic regressionen_US
dc.titleAn overview of Turkish lignite qualities by logistic analysisen_US
dc.typeReview Articleen_US

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