Friedrich Leisch
University of Natural Resources and Life Sciences, Vienna
230 Papers
917 Citations
Friedrich Leisch is an academic researcher from University of Natural Resources and Life Sciences, Vienna. The author has contributed to research in topics: Market segmentation & Computer science. The author has an hindex of 49, co-authored 219 publications. Previous affiliations of Friedrich Leisch include Vienna University of Technology & University of Erlangen-Nuremberg.
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Papers
Flexible Rasch Mixture Models with Package psychomix
TL;DR: A general class of Rasch mixture models is established and implemented in R, using conditional maximum likelihood estimation of the item parameters (given the raw scores) along with flexible specification of two model building blocks.
Mixtures of regression models for time course gene expression data
TL;DR: This work evaluated several initialization procedures for mixtures of regression models with and without random effects in an extensive simulation study on different artificial datasets from Escherichia coli.
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Evaluation strategies for isotope ratio measurements of single particles by LA-MC-ICPMS
Stefanie Kappel,Sergei F. Boulyga,Ladina Dorta,Detlef Günther,Bodo Hattendorf,Daniel Koffler,Gregor Laaha,Friedrich Leisch,Thomas Prohaska +8 more
TL;DR: A ‘finite mixture model’ is presented for the determination of an unknown number of different U isotopic compositions of single particles present on the same planchet, using an algorithm that determines the number of isotopic signatures by attributing individual data points to computed clusters.
No association of clock gene T3111C polymorphism and affective disorders.
Ursula F. Bailer,G. Wiesegger,Friedrich Leisch,Karoline Fuchs,I. Leitner,Martin Letmaier,Anastasios Konstantinidis,J. Stastny,Werner Sieghart,Kurt Hornik,B. Mitterauer,Siegfried Kasper,H.N. Aschauer +12 more
TL;DR: Results suggest that there is no association between the T3111C SNP and affective disorders in general.
50
What makes foster carers think about quitting? Recommendations for improved retention of foster carers
TL;DR: In this paper, a posteriori segmentation analysis identifies groups of carers dissatisfied with the same aspects of their role, and one group is particularly dissatisfied with factors that are within the control of foster care agencies and also reports high levels of discontinuation ideation.
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