1. Spruce bark beetles (Ips typographus, Pityogenes chalcographus, Col.: Scolytidae) in the Dinaric mountain forests of SloveniaMaja Jurc, Marko Perko, Sašo Džeroski, Damjan Demšar, Boris Hrašovec, 2006, objavljeni znanstveni prispevek na konferenci Ključne besede: žuželke, navadna jelka, Slovenija, monitoring, Spruce bark beetles, Ips typographus, Pityogenes chalcographus, Norwey spruce, monitoring, phenology, catastrophic weather conditons, position, linear regression, machine learning, model trees
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2. Data analysis using regression and multilevel/hierarchical modelsAndrew B. Gelman, Jennifer Hill, 2009 Ključne besede: statistika, statistične metode, verjetnost, regresijske analize, linearni modeli, podatki, družbene vede, statistics, statistical methods, probability, regression analysis, linear models, data, social sciences
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4. Evaluation system for the implementation of public passenger transport as a public service obligationJanez Blaž, Klemen Zajc, Samo Zupan, Miha Ambrož, 2019, izvirni znanstveni članek Ključne besede: public passenger transport, public service obligation, linear regression, optimization
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5. Comprehensive electric arc furnace electric energy consumption modelingMiha Kovačič, Klemen Stopar, Robert Vertnik, Božidar Šarler, 2019, izvirni znanstveni članek Ključne besede: steelmaking, electric arc furnaces, consumption, electric energy, melting, refining, tapping, modeling, linear regression, genetic programming
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6. Failure modes and life prediction model for high-speed bearings in a through-flow universal motorBlaž Benedik, Janez Rihtaršič, Janez Povh, Jože Tavčar, 2021, izvirni znanstveni članek Ključne besede: bearing life forecasting, bearing failure modes, through-flow universal motor, vacuum cleaner motor, grease deterioration, Weibull probability function, censored data, linear regression
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7. Bias-reduced estimators of conditional odds ratios in matched case-control studies with unmatched confoundingRok Blagus, 2023, izvirni znanstveni članek Ključne besede: statistics, linear models, bias, bias correction, Cox proportional hazards model, data augmentation, logistic regression model, relative risk estimation
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