Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 64 for “"Weighted Least Squares"”.
-
State Estimation in Active Distribution Systems: Comparison Between Weighted Least Squares and Extended Kalman Filter Algorithms
… this work by comparing the performance of the Weighted Least Square (WLS) and the Extended Kalman Filter (EKF) state estimation algorithms in active DNs. This dissertation develops and tests the performance of active distribution system state estimation WLS and EKF algorithms that consider the …
-
A Comparison Of Ordinary Least Squares, Weighted Least Squares, And Other Procedures When Testing For The Equality Of Regression
… equality of regression slopes based on ordinary least squares (OLS) estimation, extant research has shown that the standard F performs poorly when the critical assumption of homoscedasticity is violated, resulting in increased Type I error rates and reduced statistical power (Box, 1954; DeShon & …
-
Unified Ordinal Regression: Model Assessment and Semiparametric Analysis
… for censored data in general, and also develop a weighted least squares algorithm for cumulative link models for ordinal responses.
-
Design and analysis for a two level factorial experiment in the presence of dispersion effects
… variance, designs are analyzed using ordinary least squares. However, with heterogeneous variance the correct analysis is to use weighted least squares. This dissertation also examines the effects that analysis by weighted least squares can have and compares this procedure to the proposed …
-
An improved algorithm for identification of time varying parameters using recursive digital techniques
… digital identification algorithm, the recursive weighted least squares method. This method is claimed to be able to track only slowly time-varying parameters. Based on the results of this study, a method of improving the accuracy of estimates of time-varying parameters is developed. This method, …
-
Least squares finite element methods for the Stokes and Navier-Stokes equations
… goal of this work is to define and analyze least squares finite element methods for the Stokes and Navier-Stokes equations that are practical and optimal in a systematic and rigorous way. To accomplish this task we begin by developing the least squares theory for the linear Stokes equations. …
-
Linear Parameter Uncertainty Quantification using Surrogate Gaussian Processes
… posterior distribution. We extend the method to weighted least squares and a Bayesian approach both with closed form expressions of the resulting posterior distributions. We test methods on 1D deconvolution and 2D tomography. Our new methods improve on the previous algorithm, however fall short …
-
Phase projection using three satellites
… of the following phase unwrapping methods: weighted least-squares phase unwrapping, branch-cut, and MAP dynamic programming phase unwrapping. The weighted least-squares unwrapping utilizes residues, which are points of inconsistencies on the interferogram, as a guide to assign weights when …
-
Group Selection in Semiparametric and Nonparametric Accelerated Failure Time Models
… failure time (AFT) model using Stute's weighted least squares and a group bridge penalty. This method is able to simultaneously carry out feature selection at both the group and within-group individual variable levels and enjoys the powerful oracle group selection property. Although the …
-
Adaptation and Installation of a Robust State Estimation Package in the Eef Utility
… of the SHGM-estimator over the classic weighted least squares estimator is demonstrated on the EEF network. The measurement configuration of the EEF network has been evaluated, and suggestions for its reinforcement have been proposed.
-
Differences of weekend versus weekdays, nurse-to-patient staffing ratios, patient diagnoses, and direct nursing care time
… analysis of a primary dataset was done using weighted least squares multiple linear regression to test three hypotheses. Chi square was done to test the fourth hypothesis. The sample consisted of a dataset that included (a) direct care time in seconds spent at the bedside, (b) unique nurse …
-
A model for Arctic Charr populations in Cambridge Bay considering fluctuating environment
… in Cambridge Bay and using a generalized weighted least squares method, model parameters are estimated. The results of estimated parameters and a sensitivity analysis reveal the importance of early-ages individuals in the limiting behaviour of the population. Second, we investigate how the …
-
Mining NHL Draft Data and A New Value Pick Chart
… non-linear multi-variate model, with a modified weighted least squares, to predict a player's Time-On-Ice (TOI) for their first seven seasons. The results were analysed for positional advantage, then converted to value pick charts (used by teams when choosing a draft pick or considering a trade).
-
A Modified Cluster-Weighted Approach to Nonlinear Time Series
… the estimates available almost instantaneously, least squares and weighted least squares estimates are used. This is a modification of the cluster-weighted models proposed by Gershenfeld, Schoner, and Metois (1999). A simulation study compares the models and explores the adequacy of least squares …
-
Production and analysis of a Southern Ocean state estimate
… is optimized to the observed ocean in a weighted least squares sense. Convergence toward the state estimate solution is carried out by systematically adjusting the control variables (prescribed atmospheric state, initial conditions, and open northern boundary at 24.7°S) using the adjoint …
-
Production and analysis of a Southern Ocean state estimate
… is optimized to the observed ocean in a weighted least squares sense. Convergence toward the state estimate solution is carried out by systematically adjusting the control variables (prescribed atmospheric state, initial conditions, and open northern boundary at 24.7 S) using the adjoint …
-
Variance Change Point Detection under A Smoothly-changing Mean Trend with Application to Liver Procurement
… In my dissertation, we propose a penalized weighted least squares approach with an iterative estimation procedure that naturally integrates variance change point detection and smooth mean function estimation. Given the variance components, the mean function is estimated by smoothing splines …
-
Sequential Motion Estimation and Refinement for Applications of Real-time Reconstruction from Stereo Vision
… camera poses is performed with an iteratively re-weighted least squares (IRLS) method in order to reject outliers in the 3D matches. The algorithm is shown to be capable of running in real-time correctly, where the majority of processing time is taken by feature extraction and description. The …
-
Examination and Comparison of the Performance of Common Non-Parametric and Robust Regression Models
… work investigated common alternatives to the least-squares regression method in the presence of non-normally distributed errors. An initial literature review identified a variety of alternative methods, including Theil Regression, Wilcoxon Regression, Iteratively Re-Weighted Least Squares, …
Page 1 of 4