Sökning: "Prediction"
Visar resultat 11 - 15 av 2734 avhandlingar innehållade ordet Prediction.
11. A Study in RNA Bioinformatics : Identification, Prediction and Analysis
Sammanfattning : Research in the last few decades has revealed the great capacity of the RNA molecule. RNA, which previously was assumed to play a main role only as an intermediate in the translation of genes to proteins, is today known to play many important roles in the cell in addition to that as a messenger RNA and transfer RNA, including the ability to catalyze reactions and gene regulations at various levels. LÄS MER
12. Linear Modeling and Prediction in Diabetes Physiology
Sammanfattning : Diabetes Mellitus is a chronic disease characterized by the inability of the organism to autonomously regulate the blood glucose level due to insulin deficiency or resistance, leading to serious health damages. The therapy is essentially based on insulin injections and depends strongly on patient daily decisions, being mainly based upon empirical experience and rules of thumb. LÄS MER
13. Pain following Surgery: Management, Outcome, and Prediction
Sammanfattning : Despite advances in the treatment of postoperative pain, nearly 30% of patients experience moderate to severe pain following major surgery. The present thesis includes four studies intended to evaluate important aspects of postoperative pain. LÄS MER
14. Statistical Methods for Computational Markets : Proportional Share Market Prediction and Admission Control
Sammanfattning : We design, implement and evaluate statistical methods for managing uncertainty when consuming and provisioning resources in a federated computational market. To enable efficient allocation of resources in this environment, providers need to know consumers' risk preferences, and the expected future demand. LÄS MER
15. Regression methods in multidimensional prediction and estimation
Sammanfattning : In regression with near collinear explanatory variables, the least squares predictor has large variance. Ordinary least squares regression (OLSR) often leads to unrealistic regression coefficients. Several regularized regression methods have been proposed as alternatives. LÄS MER