Sökning: "Bias error"

Visar resultat 1 - 5 av 107 uppsatser innehållade orden Bias error.

  1. 1. The Role of Uni- and Multivariate Bias Adjustment Methods for Future Hydrological Projections and Subsequent Decision-Making

    Master-uppsats, Uppsala universitet/Luft-, vatten- och landskapslära

    Författare :Anna Merle Liebenehm-Axmann; [2024]
    Nyckelord :Bias adjustment methods; future hydrological climate projections; statistical analysis; future streamflow analysis; biasjusteringsmetoder; framtida hydrologiska projektioner; statistisk analys; framtida vattenförings analys;

    Sammanfattning : Climate models are essential for generating future climate projections. However, due to simplifications, the models can produce systematic differences between output and reality, which is referred to as model bias. Bias adjustment methods aim to reduce this error, which is important for making future projections more reliable. LÄS MER

  2. 2. On The Evaluation of District Heating Load Predictions

    Master-uppsats, Lunds universitet/Institutionen för energivetenskaper

    Författare :Herman Hansson; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : District Heating is a technology with the potential to enable a fossil-free society. However, to realize this potential, some improvements need to be made in order to improve District Heating operation at large, decrease losses in the systems, and thus increase the competitiveness of District Heating as a technology. LÄS MER

  3. 3. Data Misinterpretation: A Consequence of Data Structure? : A Cognitive Imperfection and Its Economic Implications

    Kandidat-uppsats, Jönköping University/Internationella Handelshögskolan

    Författare :Balázs Faragó; Joakim Ben David; [2023]
    Nyckelord :Data Misinterpretation; Behavioural Economics; Policy Decision-Making; Cognitive Bias; Convex Hull; Agent-Based Computational Economics;

    Sammanfattning : This study examines the claim that individuals misinterpret the mean of a dataset (displayed as a scatterplot) more when the convex hull of the dataset is less representative of the data. In addition, this study also tests whether outliers in the data can predict the magnitude of error that individuals make in interpreting the mean of the dataset. LÄS MER

  4. 4. Aggregating predictions of a yeast semantic segmentation model : Reducing a pixel classifier into a binary image classifier

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Ali Muquri; [2023]
    Nyckelord :;

    Sammanfattning : The introduction of machine learning in clinical microbiology is important for aiding clinical laboratories with highly repetitive tasks that are fatiguing, error-prone, and require long employee training time due to the complex nature of the task. A challenging task that belongs to the subareas that need assistance is yeast detection in fluorescence microscopy where various yeast morphologies exist. LÄS MER

  5. 5. Transverse Momentum Spectra in pp collisions (\sqrt{s}\) = 7 TeV and \(\sqrt{s}\) = 13 TeV in ALICE

    Master-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Partikel- och kärnfysik

    Författare :Andreas Stokkeland; [2023]
    Nyckelord :Multiplicity; Multiplicity classes; Soft interactions; Quark Gluon Plasma; QGP; transverse momentum; p_T; Chi-squared; fits; fit functions; Levy; Lévy; Exponential; BGBW; Boltzmann-Gibbs blast-wave; Fermi-Dirac; Bose-Einstein; Boltzmann; pion; kaon; proton; transverse momentum spectra; p_T spectra; surface velocity; Minimum Bias; MB; Physics and Astronomy;

    Sammanfattning : In this project particle production as a function of transverse momentum (\(p_{\rm T}\)) in proton-proton collisions at a center-of-mass energy (\(\sqrt{s}\)) of 7 TeV and 13 TeV has been studied. The transverse momentum is interesting to study since it reflects momentum created in the collision (before the collision, all momentum is in the beam - going in a longitudinal direction) and therefore gives information on the collision dynamics. LÄS MER