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 26 for “"optimality criterion"”.
-
A robustness type optimality criterion for experimental design
This dissertation is made up of three different parts. The principal object of part I is to demonstrate the overriding influence which the design matrix of a regression model has on the sensitivity of statistical tests to the assumption of non-normality. This sensitivity is studied through the …
-
Optimal Representation of Experimental Data
… given a space of possible coordinates and an optimality criterion selects the best state space reconstruction. This method is applied to specific problems : modeling nonuniformly sampled data, computing the inferable dimension of a data set, and model-based control.
-
Optimal representation of experimental data
… given a space of possible coordinates and an optimality criterion selects the best state space reconstruction. This method is applied to specific problems: modeling nonuniformly sampled data, computing the inferable dimension of a data set, and model-based control.
-
Optimal design of nonlinear framed structures under multiple loading conditions based on a stability criterion
… to have constant weight. An iterative optimality criterion method is used to solve the optimization problem. The method provides a general tool for designing complex structures with nonlinear behavior and generally leads to designs with better limit strength and stability while avoiding …
-
A variational approach to local optimality in control theory
… resulting trajectories satisfy a certain local optimality criterion, involving the averaged second derivative of the goal function along the trajectories.
-
An economic equipment replacement model for flexible manufacturing systems
… depreciation. This model is demand driven. The optimality criterion is the maximization of the after-tax future worth of the system at the end of a specified planning horizon. The 1983 ACRS rules are used. Illustrative examples are provided throughout.
-
One-Stage and Bayesian Two-Stage Optimal Designs for Mixture Models
… model uncertainty are developed. A Bayesian optimality criterion is used in the first stage to minimize the determinant of the posterior variances of the parameters. The second stage design is then generated according to an optimality procedure that collaborates with the improved model from …
-
Adaptive sampling for spatial prediction in wireless sensor networks
… An efficient mutual information maximization criterion suitable for this particular scenario is also presented to select the most informative gaseous sensor locations along the sewer system. The second part of this thesis introduces centralized and distributed methods for spatial prediction …
-
Optimal designs for a bivariate logistic regression model
… a desired range of doses. In addition, a new optimality criterion, T -optimality, is developed which minimizes the asymptotic variance of the estimate of the therapeutic index. Most experimenters will be less familiar with the Gumbel bivariate logistic regression model than with the univariate …
-
Optimal Row-Column Designs for Correlated Errors and Nested Row-Column Designs for Uncorrelated Errors
… least squares. In the former case, universal optimality conditions are derived separately for designs in the plane and on the torus using more general linear models than those considered elsewhere in the literature. Examples of universally optimum planar designs are given, and a method is …
-
Measurement Error in Designed Experiments for Second Order Models
… planning is also suggested. A design optimality criterion, called the DME criterion, is used to create a second-stage design when ME is present. The performance of the criterion is compared to a D-optimal design augmentation. A final comparison is made between methods accounting for ME …
-
Experimental Design Optimization and Thermophysical Parameter Estimation of Composite Materials Using Genetic Algorithms
… approaches used involved the maximization of an optimality criterion associated with the sensitivity matrix of the unknown parameters, and the minimization of the ordinary least squares error, respectively. Two versions of a general-purpose genetic-based program were developed: one is designed …
-
Optimal one and two-stage designs for the logistic regression model
… with a linear model. The application of several optimality design criteria to the logistic regression model is explored, and many resulting optimal designs are given. The implementation of these optimal designs requires the parameters of the model to be known. However, the model parameters are …
-
Efficient algorithms for bipartite matching problems with preferences
… matchings in the context of these problems. Our optimality criteria involve a diverse range of concepts that are alternatives to classical stability. Examples include so-called popular and Pareto optimal matchings, and also matchings that are optimal with respect to their profile (the number of …
-
An Algorithm and Methodology for Static Response Based Damage Detection in Structural Systems
… that utilizes static response data and Optimality Criterion optimization. Static displacement measurements are used as constraints in the damage detection algorithm that identifies potential areas of damage in structural systems. The research aims to improve upon the master's level …
-
Bayesian Two Stage Design Under Model Uncertainty
Traditional single stage design optimality procedures can be used to efficiently generate data for an assumed model y = f(x<sup>(m)</sup>,b) + ε. The model assumptions include the form of f, the set of regressors, x<sup>(m)</sup> , and the distribution of ε. The nature of the response, y, often …
-
A robust estimation method of location and scale with application in monitoring process variability
… lower computational complexity. In FMCD, the optimality criterion of C-step is still quite cumbersome if the number of variables p is large because of the computation of sample generalized variance. This is the reason why MVV has been introduced. The computational complexity of the C-step in …
-
Scheduling Distributed Real-Time Tasks in Unreliable and Untrustworthy Systems
… end-to-end time constraints, and the scheduling optimality criterion of maximizing the total accrued utility. The algorithm makes three novel contributions. First, Gamma uses gossip for reliably propagating task scheduling parameters and for discovering task execution nodes. Second, Gamma …
-
Extrapolation and bandwidth choice in the regression discontinuity design
… discontinuity estimator satisfies the asymptotic optimality criterion of Li (1987). Finally, I provide Monte Carlo evidence suggesting that the proposed algorithm also performs well in finite samples.
-
Phylogenetic Systematics and Evolution within the Family Scincidae
… more optimal tree topologies regardless of the optimality criterion used, and provides the ability to use models throughout the alignment and tree reconstruction process. South American Mabuya are not monophyletic, and the two colonization hypothesis is confirmed with parametric bootstrapping. …
Page 1 of 2