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Showing result 1 - 5 of 343 essays matching the above criteria.

  1. 1. Predictive Modeling of Pipetting Dynamics. Multivariate Regression Analysis: PLS and ANN for Estimating Density and Volume from Pressure Recordings

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Lisa Linard Pedersen; [2024]
    Keywords : Technology and Engineering;

    Abstract : Thermo Fisher Scientific manufacture automatic pipetting instruments for diagnostic tests. These tests are sensitive to abnormalities and changes in e.g. volume or density could potentially lead to less precision or other issues in the pipetting work flow. READ MORE

  3. 2. Exploring the Impact of Pseudo and Quasi Random Number Generators on Monte Carlo Integration of the Multivariate Normal Distribution

    University essay from Lunds universitet/Statistiska institutionen

    Author : Marcus Stolz; Jonathan Christopher; [2024]
    Keywords : Monte Carlo integration; Quasi monte carlo integration; Random number generation; Mathematics and Statistics;

    Abstract : This thesis examines the effects of pseudo and quasi-random number generators on the accuracy and efficiency of Monte Carlo Integration in the case of the multivariate normal distribution. The study compares the performance of the Mersenne Twister (a pseudo-random number generator) with Sobol and Halton sequences (quasi-random number generators). READ MORE

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

    University essay from Uppsala universitet/Luft-, vatten- och landskapslära

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

    Abstract : 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. READ MORE

  5. 4. States sentiment towards Artificial Intelligence in international settings

    University essay from Stockholms universitet/Statsvetenskapliga institutionen

    Author : Viktor Skog; [2024]
    Keywords : ;

    Abstract : AI is creating a global societal paradigm shift since it is a general purpose technology with seemingly unstoppable potential. Although large economic and societal advantages seem apparent, the technology is also recognised to pose an existential threat to humanity. READ MORE

  6. 5. Spatio-temporal analysis of COVID-19 in Västra Götaland, Sweden

    University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

    Author : Natalia Andreeva; [2023-08-23]
    Keywords : ;

    Abstract : Spatio-temporal analysis of COVID-19 data with the two different statistical approaches is the main objective of this thesis. The first classical approach, the Endemic-Epidemic framework (Held et al., 2005) is a class of multivariate time-series models for the incidence counts, obtained from the surveillance systems. READ MORE