Sökning: "applied statistics"

Visar resultat 1 - 5 av 547 uppsatser innehållade orden applied statistics.

  1. 1. ”Regeringen skyndar på åtgärder mot gängkriminaliteten - En kritisk diskursanalys om hur media framställer förebyggande åtgärder mot gängkriminalitet

    Kandidat-uppsats, Göteborgs universitet / / Institutionen för sociologi och arbetsvetenskap

    Författare :Majida Alisic; Kristin Korkis; [2024-02-14]
    Nyckelord :: Early interventions; gang crime; repressive measures; preventive measures; political ideology; opinion forming;

    Sammanfattning : Gang crime has increased significantly in Sweden over the past decade, deadly shootings are becoming more common. This led to the year 2022 being established as the deadliest year in Swedish crime statistics since the police began compiling national statistics on shootings. LÄS MER

  3. 2. Klusteranalys : Tillämpning av agglomerativ hierarkisk och k-means klustring för att hitta bra kluster bland fotbollsspelare baserat på spelarstatistik.

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Sacko Balbas; Arvid Törnquist; [2024]
    Nyckelord :Cluster analysis; hierarchical clustering; k-means clustering; La Liga; football; algorithm; machine learning.;

    Sammanfattning : This work is about how the multivariate analysis tool cluster analysis can be appliedto find meaningfull groups of players based on player statistics. The aim of the work isan attempt to find good clusters among players within the Spanish top football divisionLa Liga for the 2022-2023 season. LÄS MER

  4. 3. Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Zeyuan Wu; [2024]
    Nyckelord :Machine Learning; Diagnosis of Sepsis; XGBoost; Logistic Regression; Mathematics and Statistics;

    Sammanfattning : Sepsis, a serious medical condition often leading to patients requiring intensive care, has prompted numerous scientists to employ mathematical techniques to aid in its diagnosis. This thesis uses logistic regression and a machine learning technique, XGBoost, to predict true sepsis (as opposed to sepsis mimics) and culture-positive sepsis (among true sepsis) in critical care using blood test results, physiological measurements and other patient characteristics. LÄS MER

  5. 4. “(Wo)man, Life, Freedom” : en flermetodsstudie om representationen och gestaltningen av nyhetskällor i Al Arabiya och Al Jazeera under protesterna i Iran 2022 & 2023

    Kandidat-uppsats, Lunds universitet/Journalistik

    Författare :Johanna Rydgren; Ellen Rosenkvist; [2024]
    Nyckelord :Mahsa Amini; Woman; life; freedom ; gender studies; representation; Social Sciences;

    Sammanfattning : This essay examines articles published on the English editorial websites of Al Arabiya and Al Jazeera that discuss the protests that have taken place in Iran following the death of Mahsa Zhina Amini. The study is based on the framing theory, the gender theory, and the theory on “primary definers”. LÄS MER

  7. 5. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Marisa Wodrich; [2024]
    Nyckelord :Uncertainty quantification; Deep learning; Breast cancer classification; Trustworthy AI; Point-of-care ultrasound; Mathematics and Statistics;

    Sammanfattning : Breast cancer is the most common type of cancer worldwide with an estimate of 2.3 million new cases in 2020, and the number one cause of cancer-related deaths in women. LÄS MER