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 1415 for “"Experimental Design"”.
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Essays on Experimental Design
… and matched pairs, the most commonly used designs in practice in development economics, but also produces many useful new designs, embedding them in a unified framework. When used to select representative units into the experiment, local randomization boosts effective sample size, making …
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Experimental Design in Operations
Experimental design has been fundamental to many fields, yet applications in operations research (OR) and operations management (OM) bring in complexities, as well as opportunities, that extend beyond classical statistical goals. This thesis discusses why OR/OM should care about experimentation and …
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Evolutionary Computation and Experimental Design
… quickly. Many evolutionary computation and experimental design methods are considered before genetic algorithms and evolutionary operation are combined to produce novel optimisation algorithms. A novel piece of software is created to run two and three factor evolutionary operation …
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Optimal Stopping and Experimental Design
Made available in DSpace on 2014-12-09T22:17:19Z (GMT). No. of bitstreams: 1 6503593.pdf: 1725253 bytes, checksum: 0c2d7dd03cbe9f534c020a082085aa6f (MD5) Previous issue date: 1964
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Model-based Experimental Design in Electrochemistry
The following thesis applies an experimental design framework to investigate properties of electron transfer kinetics and homogeneous catalytic reactions. The approach is model-based and the classical Butler-Volmer description is chosen to describe the fundamental electrochemical reaction at a …
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Food Shelf Life: Estimation and Experimental Design
… al. 2001) was used to find near-optimal sampling designs. This was successfully programmed for general shelf life estimation. The genetic algorithm generally produced designs that had much smaller median squared errors than the staggered design that is used commonly in practice. These designs were …
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Experimental Design of Single Cell Sequencing Experiments
… sequencing technologies and proposes alternative experimental designs to increase statistical power. Single-cell sequencing enables high-throughput and high-dimensional studies of bio- logical systems. This is particularly useful in functional genomics screens that introduce perturbations to …
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Experimental design issues in impaired reproduction applications
… and more common, yet methods for efficiently designing experiments for these studies have received little attention. In this research, response surface design criteria are applied to four models for impaired reproduction data. The important role of control observations in impairment studies is …
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Contributions to experimental design for quality control
A parameter design introduced by Taguchi provides a new quality control method which can reduce cost-effectively the product variation due to various uncontrollable noise factors such as product deterioration, manufacturing imperfections, and environmental factors under which a product is actually …
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Statistical Experimental Design Framework for Cognitive Radio
… estimation models based on exercising defined experimental designs. This represents an experiential decision-making process formed in the present rather than the past. There are three core contributions from this empirical framework: 1) it enables a new approach to decision making based on …
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Computer Experimental Design for Gaussian Process Surrogates
… space using a small number of samples, i.e., the experimental design problem. This dissertation focuses on the design problem under Gaussian process surrogates. The first work demonstrates empirically that space-filling designs disappoint when the model hyperparameterization is unknown, and must …
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Parameter and topology uncertainty for optimal experimental design
… quantification of uncertainty, and optimal experimental design for reducing uncertainty. We applied a previously described algorithm for choosing optimal experiments for reducing parameter uncertainty as estimated by the Fisher information matrix. We found, using a computational scenario …
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Optimal experimental design applied to DC resistivity problems
The systematic design of experiments to optimally query physical systems through manipulation of the data acquisition strategy is termed optimal experimental design (OED). This dissertation introduces the state-of-the-art in OED theory and presents a new design methodology, which is demonstrated by …
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Accounting for Computational Expenditures in Bayesian Experimental Design
… for the data collection process is known as experimental design. The Bayesian optimal experimental design (BOED) formulation uses Bayesian inference to update beliefs after observing data and optimizes a utility function – most commonly mutual information – and is computationally challenging. …
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Numerical approaches for sequential Bayesian optimal experimental design
Experimental data play a crucial role in developing and refining models of physical systems. Some experiments can be more valuable than others, however. Well-chosen experiments can save substantial resources, and hence optimal experimental design (OED) seeks to quantify and maximize the value of …
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Accelerated Bayesian experimental design for chemical kinetic models
The optimal selection of experimental conditions is essential in maximizing the value of data for inference and prediction, particularly in situations where experiments are time-consuming and expensive to conduct. A general Bayesian framework for optimal experimental design with nonlinear …
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Optimal Experimental Design for Poisson Impaired Reproduction Studies
… has been focused on the development of efficient experimental designs for impaired reproduction studies. This research concentrates on two areas: 1) the use of Bayesian techniques to make single regressor designs robust to parameter misspecification and 2) the extension of design optimality …
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A robustness type optimality criterion for experimental design
… 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 dependence of the tests' critical values on the regression variables, when the data originate …
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Diagnosing undergraduate biology students' experimental design knowledge and difficulties
<p>Experimental design is an important component of undergraduate biology education as it generates knowledge of biology. This dissertation addresses the challenge undergraduate educators face for assessing knowledge of experimental design in biology by examining knowledge of, and difficulties …
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