Sökning: "linear regression model"
Visar resultat 21 - 25 av 243 avhandlingar innehållade orden linear regression model.
21. Local and weighted regression. Bias reduction and model validation
Sammanfattning : Nonlinear systems might be estimated, using local linear models. If the estimation data is corrupted by strongly colored noise the local model will have a bias error. In linear system identification the bias error can be reduced by using instrumentalvariable methods. LÄS MER
22. Convex Optimization for Assignment and Generalized Linear Regression Problems
Sammanfattning : This thesis considers optimization techniques with applications in assignment and generalized linear regression problems. The first part of the thesis investigates the worst-case robust counterparts of combinatorial optimization problems with least squares (LS) cost functions, where the uncertainty lies on the linear transformation of the design variables. LÄS MER
23. Estimation and Inference for Quantile Regression of Longitudinal Data : With Applications in Biostatistics
Sammanfattning : This thesis consists of four papers dealing with estimation and inference for quantile regression of longitudinal data, with an emphasis on nonlinear models.The first paper extends the idea of quantile regression estimation from the case of cross-sectional data with independent errors to the case of linear or nonlinear longitudinal data with dependent errors, using a weighted estimator. LÄS MER
24. Optimal Design of Experiments for the Quadratic Logistic Model
Sammanfattning : Optimal design of experiments for binary data is the topic of this thesis. A particular logistic model including a quadratic term in the linear predictor is considered. Determining an optimal design for this model is complicated by the fact that the optimal design is dependent on the unknown true parameters. LÄS MER
25. Models for Additive and Sufficient Cause Interaction
Sammanfattning : The aim of this thesis is to develop and explore models in, and related to, the sufficient cause framework, and additive interaction. Additive interaction is closely connected with public health interventions and can be used to make inferences about the sufficient causes in order to find the mechanisms behind an outcome, for instance a disease. LÄS MER