Sökning: "Logistik Regression"
Visar resultat 1 - 5 av 75 uppsatser innehållade orden Logistik Regression.
1. From Data to Decision: : Using Logistic Regression to Determine Creditworthiness
Kandidat-uppsats, KTH/Matematisk statistikSammanfattning : 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. LÄS MER
2. Does Implied- or Historical Volatility predict Realized Volatility? : An empirical study conducted to find evidence for which out of historical volatility or implied volatility better forecasts the future volatility.
Kandidat-uppsats, Linnéuniversitetet/Institutionen för ekonomistyrning och logistik (ELO)Sammanfattning : This study tests if historical volatility- and implied volatility has significant predictive power over future realized volatility and if so which one of the two is the superior predictor. The study is conducted by using historical volatility of the OMXS30 and implied volatility from OMXS30 call options during the period 2012-2023. LÄS MER
3. Migration from Manual to Automatic Regression Testing : Best practices for Salesforce Test Automation
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : The goal of this thesis is to explore the possibility on if it is possible to automate regression testing for a SaaS application with a serverless approach. The thesis covers the fundamentals of the software development lifecycle, cloud concepts, different types of testing frameworks, and SaaS applications. LÄS MER
4. The Impact of COVID-19 on Corporate Capital Structure : An empirical evaluation on the pandemic in a Swedish context
Master-uppsats, Linnéuniversitetet/Institutionen för ekonomistyrning och logistik (ELO)Sammanfattning : This study has strived to explore how capital structure in Swedish corporations has been affected by the COVID-19 pandemic. The study has employed both a panel regression with fixed and random effects estimation as well as a dynamic panel regression with Arellano-Bond estimators. LÄS MER
5. Comparative analysis for filtering toxic messages using machine learning models
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : Online communication has become prevalent within today’s society. The issue with such platforms is that people are allowed to express what they want without repercussion. Consequently, toxicity on these platforms becomes common. One approach to limit such inappropriate messages could be using a filtering method. LÄS MER