1. Simple reparameterization to improve convergence in linear mixed modelsGregor Gorjanc, Tina Flisar, Jose Carlos Martínez-Ávila, Luis Alberto García-Cortés, 2010, izvirni znanstveni članek Ključne besede: statistics, mixed model, Bayesian analysis, McMC, reparameterization, convergence Celotno besedilo (povezava drugam) |
2. Importance of tree species size dominance and heterogeneity on the productivity of spruce-fir-beech mountain forest stands in EuropeChiara Torresan, Miren del Rio, Torben Hilmers, Monica Notarangelo, Kamil Bielak, Franz Binder, Andrej Bončina, Michal Bošela, David I. Forrester, Martina Hobi, Thomas Andrew Nagel, Leszek Bartkowicz, Zuzana Sitkova, Tzvetan Zlatanov, Roberto Tognetti, Hans Pretzsch, 2020, izvirni znanstveni članek Ključne besede: forest structure, tree species overlapping in the size distribution, linear mixed effect model, forest management Celotno besedilo (povezava drugam) |
3. Identifying optimal forest management maximizing carbon sequestration in mountain forests impacted by natural disturbancesHana Štraus, Suzana Podvinšek, Matija Klopčič, 2023, izvirni znanstveni članek Ključne besede: carbon sequestration, forest development modeling, matrix model, forest management scenarios, mixed alpine forests, Slovenia Celotno besedilo (datoteka, 1,97 MB) Gradivo ima več datotek! Več... |
4. Diameter growth of European beech on carbonateAndrej Bončina, Vasilije Trifković, Andrej Ficko, Matija Klopčič, 2023, izvirni znanstveni članek Ključne besede: diameter increment, Dinaric region, mixed-efect model, homogeneity-of-slopes model, Fagus sylvatica, vegetation belt Celotno besedilo (datoteka, 1,51 MB) Gradivo ima več datotek! Več... |
5. Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction modelsLara Dular, Franjo Pernuš, Žiga Špiclin, 2024, izvirni znanstveni članek Ključne besede: magnetic resonance imaging, brain age prediction, image preprocessing, deep model regression, comparative study, quantitative evaluation, brain age, MRI preprocessing, deep regression models, linear mixed effect models, dataset bias, transfer learning, reproducible research, UK Biobank Celotno besedilo (datoteka, 4,29 MB) Gradivo ima več datotek! Več... |
6. Transform me if you canMalte H. G. Schneider, Dominik Kanbach, Sascha Kraus, Marina Dabić, 2024, izvirni znanstveni članek Ključne besede: management, business model, digitalization, artificial intelligence, digital transformation (DT), dynamic
capabilities, mixed method, multiple case study, new product development (NPD), sequential explanatory approach, structural equation model Celotno besedilo (datoteka, 5,44 MB) Gradivo ima več datotek! Več... |
7. Changes in tree-ring wood density of European beech (Fagus sylvatica L.), silver fir (Abies alba Mill.), and Norway spruce (Picea abies (L.) H. Karst.) in European mountain forests between 1901 and 2016Chiara Torresan, Torben Hilmers, Admir Avdagić, Edmondo Di Giuseppe, Matija Klopčič, Mathieu Lévesque, Florian Motte, Enno Uhl, Tzvetan Zlatanov, Hans Pretzsch, 2024, izvirni znanstveni članek Ključne besede: dendrochronology, wood density, latewood to earlywood ratio, drought, LIGNOSTATION™, linear mixed-effects model Celotno besedilo (datoteka, 3,05 MB) Gradivo ima več datotek! Več... |