Search for dissertations about: "Inverse demand estimation"
Showing result 1 - 5 of 6 swedish dissertations containing the words Inverse demand estimation.
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1. Time Domain Methods for Load Identification of Linear and Nonlinear Systems
Abstract : The automotive industry faces an increasing demand for virtual prototyping to simulate the operation conditions of vehicles and subsystems. Each component, as well as the complete vehicle, must meet the desired design requirements in a time- and cost-efficient development process. READ MORE
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2. Essays on Environmental Regulation, Management and Conflict
Abstract : This thesis consists of three different papers summarized as follows. In The political economy of environmental regulation, I study how enforcement of national environmental legislation differ across municipalities in Sweden depending on the local political situation. While the legislation is national, enforcement is decentralized. READ MORE
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3. Optimal Subsampling Designs Under Measurement Constraints
Abstract : We consider the problem of optimal subsample selection in an experiment setting where observing, or utilising, the full dataset for statistical analysis is practically unfeasible. This may be due to, e.g., computational, economic, or even ethical cost-constraints. READ MORE
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4. Floodwater harvesting for artificial recharge of groundwater - estimation and prediction for arid Iran
Abstract : Groundwater depletion in arid and semiarid areas is of increasing concern. Increasing water demand due to increasing population and climate change impacts have intensified the water shortage problems and put further stress especially on groundwater. READ MORE
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5. Ion Current and Torque Modeling for Combustion Engine Control
Abstract : Engine control development constantly requires more information about the combustion process, to meet present and future environmental regulations for vehicles. The demand for combustion monitoring and control from enginedevelopers drives the research in several parallel fields of technology to find the best and most cost effective sensor solution for each case. READ MORE