Sökning: "Principal Components Logistic Regression"
Hittade 3 uppsatser innehållade orden Principal Components Logistic Regression.
1. Clustering and classification of prepaid mortgages
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : This thesis aims to cluster and classify mortgages issued by a financial institution. The aim is to apply machine learning techniques on historical data in order to discover a possible structure and predictability in prepaid mortgages. LÄS MER
2. Predicting Insolvency : A comparison between discriminant analysis and logistic regression using principal components
Kandidat-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : In this study, we compare the two statistical techniques logistic regression and discriminant analysis to see how well they classify companies based on clusters – made from the solvency ratio – using principal components as independent variables. The principal components are made with different financial ratios. LÄS MER
3. Evaluating the Use of Ridge Regression and Principal Components in Propensity Score Estimators under Multicollinearity
Master-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : Multicollinearity can be present in the propensity score model when estimating average treatment effects (ATEs). In this thesis, logistic ridge regression (LRR) and principal components logistic regression (PCLR) are evaluated as an alternative to ML estimation of the propensity score model. LÄS MER