Essays about: "logistiska regressionsmodeller"

Showing result 1 - 5 of 6 essays containing the words logistiska regressionsmodeller.

  1. 1. From Data to Decision: : Using Logistic Regression to Determine Creditworthiness

    University essay from KTH/Matematisk statistik

    Author : Joel Norling; Sami Abdu; [2023]
    Keywords : Bachelor Thesis; Scorecard modeling; Mathematical Statistics; Logistic Regression; Consumer Credits; Binning; Kandidatuppsats; Scorecard-modellering; Matematisk statistik; Logistisk regression; Konsumentkrediter; Binning;

    Abstract : The development of scorecards for customer credit rating is a well-established field in the financial sector. The aim of this project, conducted in collaboration with a Swedish credit institute, was to develop a statistical model for predicting customer performance. READ MORE

  3. 2. Tree Species Impact on Forest Fire Spread Susceptibility in Sweden

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Sara Sharon Jones; [2023]
    Keywords : Geography; GIS; Physical Geography; Forest Fire; Forest Fire Susceptibility; Sweden; logistic regression modelling; Earth and Environmental Sciences;

    Abstract : Klimatförändringar förväntas leda till längre brandperioder och ökad brandrisk. I Sverige, där homogen produktionsskog utgör största delen av landskapet, finns ett behov av bättre förståelse för skogens mottaglighet för bränder för att kunna mildra risker. READ MORE

  4. 3. Modeling fault probability in single railroad turnouts in Eastern Region, Sweden, with the use of logistic regression models : A step from preventive to predictive preventive maintenance in railway maintenance planning

    University essay from KTH/Transportplanering

    Author : Filipp Zarov; [2019]
    Keywords : maintenance planning; railway turnouts; malfunction probability modeling; object-oriented databases; logistic regression models; underhållsplanering; spårväxlar; felsannolikhet modellering; objektorienterad databas; logistiska regressionsmodeller;

    Abstract : Turnouts are an important part of railway infrastructure for two reasons: infrastructure andmaintenance. For the infrastructure they provide the flexibility to allow the formulation and branchingof railway network and for maintenance they consume a large part of maintenance budget and have aprominent place in maintenance planning policy and activities. READ MORE

  5. 4. Bankruptcy Distributions and Modelling for Swedish Companies Using Logistic Regression

    University essay from KTH/Matematisk statistik

    Author : Jacob Ewertzh; [2019]
    Keywords : Applied mathematics; Financial mathematics; Statistics; Logistic regression; bankruptcy distribution; bankruptcy models; Forecasting and risk measures; Tillämpad matematik; Finansiell matematik; Statistik; Logistisk regression; konkursfördelning; konkursmodeller; Prognos och riskmått;

    Abstract : This thesis discusses the concept of bankruptcy, or default, for Swedish companies. The actual distribution over time is considered both on aggregate level and within different industries. Several models are constructed to best possible describe the default frequency. READ MORE

  6. 5. How to identify downturns within an office submarke : A quantitative time series analysis of Stockholm CBD

    University essay from KTH/Fastigheter och byggande

    Author : Jacob Palmquist; [2018]
    Keywords : Forecasting; Logistic regression; Real estate cycles; Office market; Yield; Stockholm CBD; Prognoser; Logistisk regression; Fastighetscykler; Kontorsmarknad; Direktavkastningskrav; Stockholm CBD;

    Abstract : The last couple of years there has been a significant increase in demand of attractive office locations in Stockholm consequently leading to all-time low office prime yields within the Central Business District (CBD), indicating warning signals regarding an overheated submarket. As the real estate market is crucial for the economy as a whole, it is essential to improve the understanding and predictability of future real estate cycles. READ MORE