Sökning: "KTH Matematik statistik"

Visar resultat 1 - 5 av 129 uppsatser innehållade orden KTH Matematik statistik.

  1. 1. Staff Shortage on SJ Trains

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Casper Öberg; Nora Moro; [2023]
    Nyckelord :Multiple linear regression; Residual analysis; Multicollinearity; Staff shortage; Forecast; Trains; Multipel linjär regression; Residualanalys; Multikollinearitet; Personalbrist; Prognos; Tåg;

    Sammanfattning : This thesis is a case study in collaboration with SJ AB, a government owned railway companyin Sweden. The employees aboard the trains are an essential part of operating thetrains efficiently. Therefore, it is vital to forecast absences well in order to avoid havingto cancel train trips or having employees work over time. LÄS MER

  3. 2. Factors Affecting Employment Duration in the Food Retail Industry

    M1-uppsats, KTH/Matematisk statistik

    Författare :Beata Sundling; Lova Höft; [2023]
    Nyckelord :statistics; applied mathematics; regression analysis; multiple linear regression; employment duration; employment turnover rate; food retail industry; statistik; tillämpad matematik; regressionsanalys; multipel linjär regression; anställningens varaktighet; personalomsättningshastighet; dagligvaruhandeln;

    Sammanfattning : Measuring and tracking the employee turnover rate is a crucial part when evaluating a company’s performance. An important part of this is measuring the employment duration within an organization. LÄS MER

  4. 3. Predicting the Impact of Supply Chain Disruptions Using Statistical Analysis and Machine Learning

    Master-uppsats, KTH/Matematisk statistik

    Författare :Hannes Andersson; John Sjöberg; [2023]
    Nyckelord :Supply chain disruption; SMOTE; feature engineering; machine learning; random forest; statistics; applied mathematics; Störning i försörjningskedja; maskininlärning; matematik; statistik;

    Sammanfattning : The dairy business is vulnerable to supply chain disruptions since large safety stocks to cover up losses are not always a viable option, therefore it is crucial to maintain a smooth supply chain to ensure stable delivery accuracies. Disruptions are unpredictable and hard to avoid in the supply chain, especially in cases where production errors cause lost production volume. LÄS MER

  5. 4. Analyzing Survey Response Time and Response Rate for Colorectal Cancer Patients Using Logistic and Poisson Regression

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Anna Möller; Martina Lagerros; [2023]
    Nyckelord :Applied Mathematics; Regression; Poisson Regression; Logistic Regression; Statistics; Cancer; Patients; Healthcare; Tillämpad Matematik; Statistik; Regression; Logistisk Regression; Poisson Regression; Cancer; Patientvård;

    Sammanfattning : Cancer is a highly prevalent disease worldwide, claiming hundreds of lives each year. In the field of cancer research, it is customary to conduct surveys in which patients are asked to self-report and assess their symptoms and overall health. LÄS MER

  7. 5. A Predictive Analysis of Customer Churn

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Olivia Eskils; Anna Backman; [2023]
    Nyckelord :Churn prediction; CRM; optimization; applied mathematics; machine learning; gradient boosting; random forest; logistic regression; insurance industry; Kundbortfall; CRM; optimering; tillämpad matematik; maskininlärning; gradient boosting; random forest; logistisk regression; försäkringsbranschen;

    Sammanfattning : Churn refers to the discontinuation of a contract; consequently, customer churn occurs when existing customers stop being customers. Predicting customer churn is a challenging task in customer retention, but with the advancements made in the field of artificial intelligence and machine learning, the feasibility to predict customer churn has increased. LÄS MER