Sökning: "FACTOR"
Visar resultat 11 - 15 av 8816 avhandlingar innehållade ordet FACTOR.
11. Is it safe? safety factor reasoning in policy-making under uncertainty
Sammanfattning : This thesis examines the practice of using safety factors in decision-making under uncertainty, in particular in the areas of toxicology and civil engineering. The aim is to expose and clarify some of the philosophical issues surrounding the practice. LÄS MER
12. Crosstalk between Inflammation and Coagulation in Acute Pancreatitis - Experimental and Clinical Studies
Sammanfattning : In various inflammatory conditions a close interplay between inflammation and coagulation is known to exist, where coagulation factor VII (FVII) and tissue factor (TF) are considered to be pivotal players. In this thesis the crosstalk between inflammation and coagulation in acute pancreatitis (AP) has been investigated. LÄS MER
13. Structural and functional studies of factor V in health and disease
Sammanfattning : The homologous blood coagulation factors V (FV) and factor VIII (FVIII) are important at sites of vascular injury for the amplification of the clotting cascade. Activated FV (FVa) serves as a cofactor to the enzyme activated factor X (FXa) in the activation of prothrombin. This complex is called the prothrombinase complex. LÄS MER
14. A Factor Analytical Approach to Dynamic Panel Data Models
Sammanfattning : This thesis deals with the development and application of new estimation approaches based on factor analysis for estimation and inference in dynamic panel data models with fixed-effects. A new factor analytical method (FA) for the estimation of fixed-effects dynamic panel data models is proposed in Bai ("Fixed-Effects Dynamic Panel Models, A Factor Analytical Method". LÄS MER
15. Factor-Augmented Forecasting for High-Dimensional Data
Sammanfattning : In this thesis, we take a critical look at the factor-augmented forecast models, when a large number of time series variables available can provide the vital information for prediction. We discuss how to describe the commonality and idiosyncrasy of high-dimensional data by a handful of factors in various levels, and how to improve the predictive performance using these factors as augmented predictors. LÄS MER