Search for dissertations about: "missing values"
Showing result 1 - 5 of 78 swedish dissertations containing the words missing values.
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1. Interpretable machine learning models for predicting with missing values
Abstract : Machine learning models are often used in situations where model inputs are missing either during training or at the time of prediction. If missing values are not handled appropriately, they can lead to increased bias or to models that are not applicable in practice without imputing the values of the unobserved variables. READ MORE
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2. Statistical modeling in international large-scale assessments
Abstract : This thesis contributes to the area of research based on large-scale educational assessments, focusing on the application of multilevel models. The role of sampling weights, plausible values (response variable imputed multiple times) and imputation methods are demonstrated by simulations and applications to TIMSS (Trends in International Mathematics and Science Study) and PISA (Programme for International Student Assessment) data. READ MORE
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3. Rainfall-Runoff Modelling Using Artificial Neural Networks (ANNs)
Abstract : Over the last decades or so, artificial neural networks (ANNs) have become one of the most promising tools for modelling hydrological processes such as rainfall-runoff processes. In most studies, ANNs have been demonstrated to show superior result compared to the traditional modelling approaches. READ MORE
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4. Classification and Computational Methods in Gene Expression Data Analysis
Abstract : The technology of cDNA microarrays has given us the possibility to monitor the state of cells by measuring the activity of thousands of genes simultaneously. This high-throughput techniqe has in cancer research allowed exploratory studies of molecular mechanisms behind for example metastasis and response to therapy. READ MORE
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5. A landscape of values - a study of non-epistemic values in Swedish upper secondary science education
Abstract : This thesis sets out to investigate the role of non-epistemic values in science education from three actors’ perspectives – the science student, the science teacher, and the science teacher educator. More specifically, the focus is on exploring the variation of values among these three key actors in science education, and what characterizes these values. READ MORE