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  1. 1. Weather Factors and E. coli Concentration in Barnviken, Malmö - A Linear Mixed Model Approach

    University essay from Lunds universitet/Statistiska institutionen

    Author : Elias Gullberg; [2024]
    Keywords : Linear Mixed Models; Mathematics and Statistics;

    Abstract : Barnviken in Malmö has persistently encountered challenges associated with elevated concentrations of Escherichia coli (E. coli) without a discernible source of contamination. READ MORE

  3. 2. Investigation of Injury Predictors for Rat Neuro Trauma

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Rosetta Maglio; [2024]
    Keywords : Finite element method; Rat brain traumatic brain injury; Rat brain finite element model; Strain; Strain rate; Product of strain and strain rate; Rotational direction; Rotational duration; Injury prediction; Finita elementmetoden; Råtthjärnans finita elementmodell; Belastning; Belastningshastighet; Produkten av belastning och belastningshastighet; Rotationsriktning; Rotationstid; Skadeförutsägelse;

    Abstract : A traumatic brain injury is usually caused by a direct impact to the head and is a common cause of disability and death all around the world. The most effective method to predict brain injury today, is to use a finite element head model. READ MORE

  4. 3. Cluster Analysis on Football Teams Performance Data

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Clarence Thunberg Kalt; [2024]
    Keywords : ;

    Abstract : .... READ MORE

  5. 4. A temporal Hawkes process model for shooting occurrences in Sweden

    University essay from Lunds universitet/Statistiska institutionen

    Author : Sara Kopelman; [2024]
    Keywords : Point processes; stochastic processes; statistics; conditional intensity; crime; shootings; Mathematics and Statistics;

    Abstract : The Hawkes process, also referred to as a self-exciting point process, is a class of point processes where the intensity is conditioned on previous events. More specifically, an event occurrence excites the process, temporarily increasing the probability of more events occurring. READ MORE

  6. 5. 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