Search for dissertations about: "Missing values"
Showing result 11 - 15 of 78 swedish dissertations containing the words Missing values.
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11. Microbial risk assessment and its implications for risk management in urban water systems
Abstract : Infectious disease can be transmitted via various environmental pathways, many of which are incorporated into our water and wastewater systems. Quantitative microbial risk assessment (QMRA) can be a valuable tool in identifying hazard exposure pathways and estimating their associated health impacts. READ MORE
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12. Statistical Data Analysis for Internet-of-Things : Scalability, Reliability, and Robustness
Abstract : Internet-of-Things is a set of sensing, communication, and computation technologies to connect physical objects, such as wearable devices, vehicles, and buildings. From those connected “Things”, a large amount of data is generated. READ MORE
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13. Networks and epidemics - impact of network structure on disease transmission
Abstract : The spread of infectious diseases, between animals as well as between humans, is a topic often in focus. Outbreaks of diseases like for example foot-and-mouth disease, avian influenza, and swine influenza have in the last decades led to an increasing interest in modelling of infectious diseases since such models can be used to elucidate disease transmission and to evaluate the impact of different control strategies. READ MORE
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14. Predictive Control of Diabetic Glycemia
Abstract : Diabetes Mellitus is a chronic disease, where the blood glucose concentration of the patient is elevated. This is either because of missing insulin production due to failure of the β-cells in the pancreas (Type 1) or because of reduced sensitivity of the cells in the body to insulin (Type 2). READ MORE
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15. Multiple Kernel Imputation : A Locally Balanced Real Donor Method
Abstract : We present an algorithm for imputation of incomplete datasets based on Bayesian exchangeability through Pólya sampling. Each (donee) unit with a missing value is imputed multiple times by observed (real) values on units from a donor pool. The donor pools are constructed using auxiliary variables. READ MORE