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Visar resultat 1 - 5 av 55 avhandlingar som matchar ovanstående sökkriterier.

  1. 1. Algorithmically Guided Information Visualization : Explorative Approaches for High Dimensional, Mixed and Categorical Data

    Författare :Sara Johansson Fernstad; Mikael Jern; Jimmy Johansson; Jane Shaw; Matthew O. Ward; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Information visualization; data mining; high dimensional data; categorical data; mixed data;

    Sammanfattning : Facilitated by the technological advances of the last decades, increasing amounts of complex data are being collected within fields such as biology, chemistry and social sciences. The major challenge today is not to gather data, but to extract useful information and gain insights from it. LÄS MER

  2. 2. Categorical Unification

    Författare :María Ángeles Galán García; Patrik Eklund; José Meseguer; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Datalogi; Monad compositions; generalised terms; many-valued logic; Datalogi; Computer science; Datalogi; business data processing; administrativ databehandling;

    Sammanfattning : This thesis deals with different aspects towards many-valued unification which have been studied in the scope of category theory. The main motivation of this investigation comes from the fact that in logic programming, classical unification has been identified as the provision of coequalizers in Kleisli categories of term monads. LÄS MER

  3. 3. Models for Ordered Categorical Pharmacodynamic Data

    Författare :Per-Henrik Zingmark; Mats O Karlsson; E. Niclas Jonsson; France Mentré; Uppsala universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Pharmacokinetics Pharmacotherapy; Pharmacodynamic; Modelling; Categorical data; NONMEM; Proportional odds model; Markov model; Differential drug effect model; Farmakokinetik Farmakoterapi; PHARMACY; FARMACI;

    Sammanfattning : In drug development clinical trials are designed to investigate whether a new treatment is safe and has the desired effect on the disease in the target patient population. Categorical endpoints, for example different ranking scales or grading of adverse events, are commonly used to measure effects in the trials. LÄS MER

  4. 4. Non-parametric methods for functional data

    Författare :Johan Strandberg; Sara Sjöstedt de Luna; Konrad Abramowicz; Lina Schelin; Charlotte Häger; Pedro Delicado; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; functional data analysis; testing; clustering; prediction; inference; bagging Voronoi strategy; kriging; dependency; matematisk statistik; Mathematical Statistics;

    Sammanfattning : In this thesis we develop and study non-parametric methods within three major areas of functional data analysis: testing, clustering and prediction. The thesis consists of an introduction to the field, a presentation and discussion of the three areas, and six papers. LÄS MER

  5. 5. On the Measurement of Model Fit for Sparse Categorical Data

    Författare :Katrin Kraus; Dag Sörbom; Ghazi Shukur; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; goodness-of-fit; sparseness; model fit; categorical data; fit statistic; sparse contingency table; Statistics; Statistik;

    Sammanfattning : This thesis consists of four papers that deal with several aspects of the measurement of model fit for categorical data. In all papers, special attention is paid to situations with sparse data. LÄS MER