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Computer-aided design of experimentsMcCaa, Burwell Boykin 08 1900 (has links)
No description available.
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A cost optimal approach to selection of experimental designs for operational testing under conditions of constrained sample sizeRuss, Sam Wallace 05 1900 (has links)
No description available.
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Experiment design for nonlinear system identificationZhu, Yijia Unknown Date
No description available.
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Experimental design for measuring the intra- and inter-group consistency of human judgment of relevanceHoffman, John Marion January 1965 (has links)
No description available.
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A phenomenalistic theory of the development of scienceJones, Warren Thomas 08 1900 (has links)
No description available.
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Including life cycle performance considerations in a product development processOrtega, Roberto A. 05 1900 (has links)
No description available.
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The Usability and Learnability of Pen/Tablet Mode InferencingNegulescu, Matei January 2012 (has links)
The inferred mode protocol uses contextual reasoning and local mediators to eliminate
the need to access specic modes to perform draw, select, move and delete operations in a
sketch interface. This thesis describe an observational experiment to understand the learn-
ability, user preference and frequency of use of mode inferencing in a sketch appli- cation.
Novel methodology is presented to study both quantitative and long term qualitative facets
of mode inferencing. The experiment demonstrated that participants instructed in the in-
terface features enjoyed fluid transitions between modes. As well, interaction techniques
were not self-revealing: Participants who were not instructed in interaction techniques took
longer to learn about inferred mode features and were more negative about the interaction
techniques. Over multiple sketching sessions, as users develop expertise with the system,
they combine inferred mode techniques to speed interaction, and frequently make use of
scratch space on the display to retrain themselves and to tune their behaviors. Lastly, post-
task interviews outline impediments to discoverability and how performance is affected by
negative perceptions around computational intelligence. The results of this work inform
the design of sketch interface techniques that incorporate noncommand features.
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Optimal designs for two-colour microarray experiments.Sanchez, Penny S. January 2010 (has links)
My PhD research focuses on the recommendation of optimal designs for two-colour microarray experiments. Two-colour microarrays are a technology used to investigate the behaviour of many thousands of genes in a single experiment. This technology has created the potential for making significant advances in the field of bioinformatics. Careful statistical design is crucial to realize the full potential of microarray technology. My research has focused on the recommendation of designs that are optimal in terms of precision for effects that are of scientific interest, making the most effective use of available resources. Based on statistical efficiency, the optimality criterion used is Pareto optimality. A design is defined to be Pareto optimal if there is no other design that leads to equal or greater precision for each effect of scientific interest and strictly greater precision for at least one. My PhD thesis was submitted in June and key aspects of my research are summarised below. Pareto optimality enables the recommendation of designs that are particularly efficient for the effects that are of scientific interest. I have developed methodology to cater for effects of interest that correspond to contrasts rather than solely considering parameters of the statistical linear model. My approach also caters for additional experimental considerations such as contrasts that are of equal scientific interest. During my PhD, I have provided advice regarding the design of two-colour microarray experiments aimed at discovering the genetic basis of medical conditions. For large experiments, it is not feasible to examine all possible designs in an exhaustive search for Pareto optimal designs. I have adapted the multiple objective metaheuristic method of Pareto simulated annealing to the microarray context. The aim of Pareto simulated annealing is to generate an approximation to the set of Pareto optimal designs in a relatively short time. At each iteration, a sample of generating designs is used to explore the design space in an efficient way. This involves the setting of a number of Pareto simulated annealing parameters and the development of appropriate quality measures. I have developed algorithms to search systematically for the optimal values of the tuning parameters based on Pareto simulated annealing and response surface methodology. / Thesis (Ph.D.) -- University of Adelaide, School of Mathematical Sciences, 2010
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Total life cycle management - assessment tool an exploratory analysis/Young, Brad. January 2008 (has links) (PDF)
Thesis (M.S. in Operations Research)--Naval Postgraduate School, June 2008. / Thesis Advisor(s): Lucas, Thomas W. "June 2008." Description based on title screen as viewed on August 25, 2008 Includes bibliographical references (p. 45). Also available in print.
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Improving life cycle management through simulation and efficient designGarcia, Alberto A. January 2008 (has links) (PDF)
Thesis (M.S. in Operations Research)--Naval Postgraduate School, September 2008. / Thesis Advisor(s): Lucas, Thomas W. "September 2008." Description based on title screen as viewed on November 6, 2008. Includes bibliographical references (p. 89-90). Also available in print.
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