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.
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Showing 1 to 20 of 109 for “"optimal designs"”.
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Optimal Designs with Limited Resources
… dissertation we present new results regarding optimality of block designs with limited resources. The dissertation is organized as follows. The first chapter outlines the theory of optimal block design. The second chapter shows new work in optimal minimally connected block designs with spatial …
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Optimal designs for cable-stayed bridge
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1996.
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Pareto Gamuts : exploring optimal designs across varying contexts
Manufactured parts are meticulously engineered to perform well with respect to several conflicting metrics, like weight, stress, and cost. The best achievable trade-offs reside on the Pareto front, which can be discovered via performance-driven optimization. Objective functions used to define the …
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Optimal designs for a bivariate logistic regression model
… model for bivariate logistic regression. D-optimal and Q-optimal experimental designs are developed for this model The Q-optimal design minimizes the average asymptotic prediction variance of p(l,O;d), the probability of efficacy without toxicity at dose d, over a desired range of doses. In …
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Optimal designs for linear and nonlinear precoders and decoders
… that generalizes our linear precoder and decoder optimal designs. We can obtain maximum information rate design, minimum mean-squared error design and QoS based design when we choose different corresponding weight matrices. For DFE-based nonlinear scheme, we use Lagrangian optimizing method to …
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Optimal designs for dose-finding in contingent response models
We study D- and c-optimal designs for dose-finding with opposing failure functions. In particular, we study the contingent response models of Li, Durham and Flournoy (1995). In the contingent response model, there are two opposing types of failure. We call one failure type toxicity and the other …
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Tuning complex computer codes to data and optimal designs
"Modern scientific researchers often use complex computer simulation codes for theoretical investigations. We model the response of computer simulation code as the realization of a stochastic process. This approach, design and analysis of computer experiments (DACE), provides a statistical basis …
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Metamodeling utilizing d-optimal designs as applied to large scale simulations
Includes bibliographical references (pages 127-130).
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One-Stage and Bayesian Two-Stage Optimal Designs for Mixture Models
In this research, Bayesian two-stage D-D optimal designs for mixture experiments with or without process variables under 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 …
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Single-Step Factor Screening and Response Surface Optimization Using Optimal Designs with Minimal Aliasing
… Previous work generally involved selecting designs based on projection properties first and aliasing structure second. However, having good projection properties is of little concern if the correct factors cannot be identified. We apply Jones and Nachtsheim’s (2009) method for finding …
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Optimal Experimental Designs for the Poisson Regression Model in Toxicity Studies
Optimal experimental designs for generalized linear models have received increasing attention in recent years. Yet, most of the current research focuses on binary data models especially the one-variable first-order logistic regression model. This research extends this topic to count data models. …
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Optimal experimental designs for estimating the slope of a response surface
Optimality criteria for the selection of a response surface design have been presented by many authors. For the most part these criteria have led to optimal designs for predicting response. In many applications of response surface methodology, however, the primary experimental objective can best be …
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Bayesian D-Optimal Design for Generalized Linear Models
Bayesian optimal designs have received increasing attention in recent years, especially in biomedical and clinical trials. Bayesian design procedures can utilize the available prior information of the unknown parameters so that a better design can be achieved. However, a difficulty in dealing with …
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Three Essays on Product Positioning and Pricing
… product and the purchasing capability. Given the optimal designs of the current product, we explore the optimal designs for the new product. We also provide guidelines for the new market to be adjacent to the current market and also the situations when the new product introduction is not possible.
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A comparison of the classical and inverse methods of calibration in regression
… integrated mean squared error, and the resulting optimal and near optimal designs are then compared with those for the Classical estimator which were recently derived by Ott and Nycrs. Optimal designs are developed for a linear approximation when the true model is linear and when it is quadratic. …
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Experimental design issues in impaired reproduction applications
… attention is focused on issues surrounding optimal design of experiments for two of the models, a Poisson exponential model and a Poisson linear model. As most of the optimal designs for these models are obtained via numerical methods rather than directly from criteria, equivalence theory is …
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Optimal one and two-stage designs for the logistic regression model
… a well known nonlinear model. Designing an optimal experiment for this nonlinear situation poses some problems not encountered with a linear model. The application of several optimality design criteria to the logistic regression model is explored, and many resulting optimal designs are …
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Optimal and Robust Designs of Step-stress Accelerated Life Testing Experiments for Proportional Hazards Models
… step-stress ALT plans with censoring. The optimal stress levels and times of changing the stress levels are investigated. We discuss the optimal designs under three optimality criteria. They are D-, A- and Q-optimal designs. We note that the classical designs are optimal only if the model …
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Design and Analysis of Pharmacokinetic and Pharmacodynamic Trials
… when the model is misspecified. We considered optimal cross-over designs for PK/PD models and found that dual balanced AB/BA designs are optimal and that a uniform design is optimal among all dual balanced designs for more than two treatments and periods. We developed algorithms to construct …
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Optimal experimental designs for two-variable logistic regression models
… becomes more complex and expensive. The optimal design work is extremely valuable in areas such as biomedical and environmental applications. Most design research dealing with the logistic model has been concentrated on the one-variable case. Relative little has been done for the …
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