Applied Econometrics with Stata for PhD Students

Aktivität: Wissenschaftliche und künstlerische VeranstaltungenExternen Workshops, Kursen, SeminarenLehre

Daniel Schmidt - Teilnehmer*in

    23.04.201009.07.2011
    Applied Econometrics with Stata for PhD Students

    Veranstaltung

    Applied Econometrics with Stata for PhD Students

    23.04.1009.07.11

    Lüneburg, Deutschland

    Veranstaltung: Workshop

    Zuletzt angesehen

    Publikationen

    1. An EKF-based observer for sensorless valve control in camless internal combustion engine
    2. Developing a Process for the Analysis of User Journeys and the Prediction of Dropout in Digital Health Interventions:
    3. Spatially assessing unpleasant places with hard- and soft-GIS methods
    4. Comparison of Trajectory Estimation Methods Based on LIDAR and Monocular Camera in a Simulated Environment
    5. Managing (in) times of uncertainty
    6. Development of Early Spatial Perspective-Taking - Toward a Three-Level Model
    7. A simple control strategy for increasing the soft bending actuator performance by using a pressure boost
    8. Constructing strangeness
    9. Metaheuristics approach for solving personalized crew rostering problem in public bus transit
    10. Robust Estimation of Linear Fixed Effects Panel Data Models with an Application to the Exporter Productivity Premium
    11. Optimizing price levels in e-commerce applications
    12. Recent Advances in Intelligent Algorithms for Fault Detection and Diagnosis
    13. Public perceptions of CCS in context
    14. Which nudges get support - A Quantitative Analysis of the Dimensions Transparency and Dual Process Theory
    15. Outperformed by a Computer? - Comparing Human Decisions to Reinforcement Learning Agents, Assigning Lot Sizes in a Learning Factory
    16. Influence of Mg content in Al alloys on processing characteristics and dynamically recrystallized microstructure of friction surfacing deposits
    17. The structure of emotions in learning situations
    18. Convergence of adaptive learning and expectational stability
    19. Performance predictors for graphics processing units applied to dark-silicon-aware design space exploration