Search for dissertations about: "dependent variable transformation model"
Showing result 1 - 5 of 7 swedish dissertations containing the words dependent variable transformation model.
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1. On specification and inference in the econometrics of public procurement
Abstract : In Paper [I] we use data on Swedish public procurement auctions for internal regularcleaning service contracts to provide novel empirical evidence regarding green publicprocurement (GPP) and its effect on the potential suppliers’ decision to submit a bid andtheir probability of being qualified for supplier selection. We find only a weak effect onsupplier behavior which suggests that GPP does not live up to its political expectations. READ MORE
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2. Microstructure model for Ti-6Al-4V used in simulation of additive manufacturing
Abstract : This thesis is devoted to microstructure modelling of Ti-6Al-4V. The microstructure and the mechanical properties of titanium alloys are highly dependent on the temperature history experienced by the material. The developed microstructure model accounts for thermaldriving forces and is applicable for general temperature histories. READ MORE
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3. Phase change with stress effects and flow
Abstract : In this thesis two kinds of phase change i.e., solid state phase transformation in steels and solid-to-liquid phase transformation in paraffin, have been modeled and numerically simulated. READ MORE
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4. Control of EGR and VGT for Emission Control and Pumping Work Minimization in Diesel Engines
Abstract : Legislators steadily increase the demands on lowered emissions from heavy duty vehicles. To meet these demands it is necessary to integrate technologies like Exhaust Gas Recirculation (EGR) and Variable Geometry Turbochargers (VGT) together with advanced control systems. READ MORE
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5. Convex Optimization for Assignment and Generalized Linear Regression Problems
Abstract : This thesis considers optimization techniques with applications in assignment and generalized linear regression problems. The first part of the thesis investigates the worst-case robust counterparts of combinatorial optimization problems with least squares (LS) cost functions, where the uncertainty lies on the linear transformation of the design variables. READ MORE