Sökning: "least mean squares regression"
Visar resultat 1 - 5 av 14 avhandlingar innehållade orden least mean squares regression.
1. Regression Analysis of Censored Data with Applications in Perimetry
Sammanfattning : This thesis treats regression analysis when either the dependent or the independent variable is censored. We deal with quantile regression when the dependent variable is censored. LÄS MER
2. Modelling and Inference using Locally Stationary Processes : Biomedical applications
Sammanfattning : This thesis considers statistical methods for non-stationary signals, specifically stochastic modelling, inference on the model parameters and optimal spectral estimation. The models are based on Silverman’s definition of Locally Stationary Processes (LSPs). LÄS MER
3. Three Phase Controlled Fault Interruption Using High Voltage SF6 Circuit Breakers
Sammanfattning : A method is presented for implementing controlled fault interruption,using high voltage, SF6 circuit breakers on three phase high voltage powernetworks. The main goal of the method is to synchronize the opening or tripcommands to each phase of a circuit breaker with respect to target currentzero times so that each phase will interrupt with a preselected arcingtime. LÄS MER
4. A two-step regression method with connections to partial least squares and the growth curve model
Sammanfattning : Prediction of a continuous response variable from background data is considered. The independent prediction variable data may have a collinear structure and comprise group effects. A new two-step regression method inspired by PLS (partial least squares regression) is proposed. LÄS MER
5. 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