Boztuǧ, Yasemin

[["dc.bibliographiccitation.firstpage","296"],["dc.bibliographiccitation.lastpage","303"],["dc.contributor.author","Bartels, K."],["dc.contributor.author","Boztuǧ, Yasemin"],["dc.contributor.author","Müller, M."],["dc.contributor.editor","Decker, R."],["dc.contributor.editor","Gaul, W."],["dc.date.accessioned","2020-03-09T14:47:13Z"],["dc.date.available","2020-03-09T14:47:13Z"],["dc.date.issued","2000"],["dc.description.abstract","A general test to check the adequateness of a regression model against nonparametric alternatives is presented. This test procedure is then applied to the well known multinomial logit model and its power is considered in a simulation study. Finally, the multinomial logit model is tested for a real scanner panel data set. The null hypothesis that the multinomial logit model is an adequate model for the real data set is rejected."],["dc.identifier.doi","10.1007/978-3-642-57280-7_32"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/63260"],["dc.language.iso","en"],["dc.relation.isbn","978-3-540-67589-1"],["dc.relation.isbn","978-3-642-57280-7"],["dc.relation.ispartof","Classification and Information Processing at the Turn of the Millennium"],["dc.relation.issn","1431-8814"],["dc.title","Testing the Multinomial Logit Model"],["dc.type","book_chapter"],["dc.type.internalPublication","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","558"],["dc.bibliographiccitation.lastpage","565"],["dc.contributor.author","Boztuǧ, Yasemin"],["dc.contributor.author","Hildebrandt, Lutz"],["dc.contributor.editor","Spiliopoulou, M."],["dc.contributor.editor","Kruse, R."],["dc.contributor.editor","Borgelt, C."],["dc.contributor.editor","Nürnberger, A."],["dc.contributor.editor","Gaul, W."],["dc.date.accessioned","2020-03-09T14:53:35Z"],["dc.date.available","2020-03-09T14:53:35Z"],["dc.date.issued","2006"],["dc.description.abstract","The following research is guided by the hypothesis that products chosen on a shopping trip in a supermarket can indicate the preference interdependencies between different products or brands. The bundle chosen on the trip can be regarded as the result of a global utility function. More specifically: the existence of such a function implies a cross-category dependence of brand choice behavior. It is hypothesized that the global utility function related to a product bundle results from the marketing-mix of the underlying brands. Several approaches exist to describe the choice of specific categories from a set of many alternatives. The models are discussed in brief; the multivariate logit approach is used to estimate a model with a German data set."],["dc.identifier.doi","10.1007/3-540-31314-1_68"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/63262"],["dc.language.iso","en"],["dc.publisher","Springer"],["dc.publisher.place","Berlin, Heidelberg"],["dc.relation.isbn","3-540-31313-3"],["dc.relation.ispartof","From Data and Information Analysis to Knowledge Engineering. Studies in Classification, Data Analysis, and Knowledge Organization."],["dc.title","A Market Basket Analysis Conducted with a Multivariate Logit Model"],["dc.type","book_chapter"],["dc.type.internalPublication","no"],["dspace.entity.type","Publication"]]