Sökning: "statistisk modellering"
Visar resultat 1 - 5 av 63 uppsatser innehållade orden statistisk modellering.
1. Predicting the Impact of Supply Chain Disruptions Using Statistical Analysis and Machine Learning
Master-uppsats, KTH/Matematisk statistikSammanfattning : 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
2. 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
3. Statistical Modelling of Price Difference Durations Between Limit Order Books: Applications in Smart Order Routing
Master-uppsats, KTH/Matematisk statistikSammanfattning : The modern electronic financial market is composed of a large amount of actors. With the surge in algorithmic trading some of these actors collectively behave in increasingly complex ways. Historically, academic research related to financial markets has been focused on areas such as asset pricing, portfolio management and financial econometrics. LÄS MER
4. Applying the Shadow Rating Approach: A Practical Review
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : The combination of regulatory pressure and rare but impactful defaults together comprise the domain of low default portfolios, which is a central and complex topic that lacks clear industry standards. A novel approach that utilizes external data to create a Shadow Rating model has been proposed by Ulrich Erlenmaier. LÄS MER
5. Statistical Analysis and Modelling of Engine Oil Degradation
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysikSammanfattning : An engine oil has several important properties it must fulfil in order to provide efficient engine operation. In addition to damping friction by lubrication, an engine oil must be able to cool, protect against corrosion, dampen vibrations and clean surfaces from contamination, wear and residual products. LÄS MER