Sökning: "Cox proportional hazards model"
Visar resultat 1 - 5 av 29 uppsatser innehållade orden Cox proportional hazards model.
1. Failure Probability and Lifetime Estimation for Industrial Robots : A Logistic Regression and Lifetime Analysis Approach
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistikSammanfattning : The ability to handle and process data for information extraction is getting more and more important. Using extracted data from the business to improve productivity is seen as an important part in developing the business processes. In this thesis, industrial robots and their survival times are analyzed. LÄS MER
2. Wind Turbine Recovery Forecasting using Survival Analysis
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : The goal of this thesis is to present a methodology for predicting time until recovery of failed wind turbines. The necessity is motivated by the potential for more accurate wind energy export forecasts. The current approach rests entirely on having an expert examine the turbine and produce a time estimate. LÄS MER
3. Development of a Machine Learning Survival Analysis Pipeline with Explainable AI for Analyzing the Complexity of ED Crowding : Using Real World Data collected from a Swedish Emergency Department
Master-uppsats, KTH/Medicinteknik och hälsosystemSammanfattning : One of the biggest challenges in healthcare is Emergency Department (ED)crowding which creates high constraints on the whole healthcare system aswell as the resources within and can be the cause of many adverse events.Is is a well known problem were a lot of research has been done and a lotof solutions has been proposed, yet the problem still stands unsolved. LÄS MER
4. 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
5. Deep Learning Approach for Time- to-Event Modeling of Credit Risk
Master-uppsats, KTH/Matematisk statistikSammanfattning : This thesis explores how survival analysis models performs for default risk prediction of small-to-medium sized enterprises (SME) and investigates when survival analysis models are preferable to use. This is examined by comparing the performance of three deep learning models in a survival analysis setting, a traditional survival analysis model Cox Proportional Hazards, and a traditional credit risk model logistic regression. LÄS MER
