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Dissertations / Theses on the topic 'Experiments designs'

Author: Grafiati

Published: 31 August 2024

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1

周敬良 and King-leung Chow. "Optimal designs for supplementary experiments." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1989. http://hub.hku.hk/bib/B31231548.

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2

Kao, Lie-Jane. "Designs for drug combination experiments /." The Ohio State University, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=osu14878493772931.

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3

Chow, King-leung. "Optimal designs for supplementary experiments /." [Hong Kong] : University of Hong Kong, 1993. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13787457.

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4

Leatherman, Erin Rae. "Optimal predictive designs for experiments that involve computer simulators." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1376393067.

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5

Kim, Sungil. "Experimental design methods for nano-fabrication processes." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42738.

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Most design of experiments assumes predetermined design regions. Design regions with uncertainty are of interest in the first chapter. This chapter proposes optimal designs under a two-part model to handle the uncertainty in the design region. In particular, the logit model in the two-part model is used to assess the uncertainty on the boundary of the design region. The second chapter proposes an efficient and effective multi-layer data collection scheme (Layers of Experiments) for building accurate statistical models to meet tight tolerance requirement commonly encountered in nano-fabricatio

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6

Tsai, Hsing-Chuan. "Optimal designs for drug combination experiments /." The Ohio State University, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488193272068802.

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7

Persson, Johan. "Restricted Region Exact Designs." Thesis, Linköpings universitet, Matematiska institutionen, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138614.

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Problem statement: The D-optimal design is often used in clinical research. In multi-factor clinical experiments it is natural to restrict the experiment's design space so as not to give a patient the combination of several high dose treatments simultaneously. Under such design space restrictions it is unknown what designs are D-optimal. The goal of the thesis has been to find D-optimal designs for these design spaces. Approach: Two new algorithms for finding D-optimal designs with one, two or three factors with linear models has been developed and implemented in MATLAB. Two restricted design

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8

Gustafsson, Emelie Anna. "Designs for computer experiments : random versus rational." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/42946.

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Computer experiments facilitate, through mathematical modelling, various experiments that would otherwise be very difficult to perform, or even impossible. Computer experiments are employed to emulate situations in areas such as weather modelling, astrophysics, economics and many more. In conducting a computer experiment, we are required to select a design for the initial values x⁽¹⁾, . . . , x(n) of a process, and then emulate the output based on the process and the initial values. The quality of the emulator therefore depends partly on the process and partly on the choice of initial values.

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9

Fainaru, Ilana Carleton University Dissertation Mathematics and statistics. "F-optimal designs for binary response experiments." Ottawa, 1994.

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10

Volkov, Oleg. "Optimal relaxed designs of experiments, with pharmaceutical applications." Thesis, Queen Mary, University of London, 2014. http://qmro.qmul.ac.uk/xmlui/handle/123456789/8297.

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This thesis was motivated by the collaborative research undertaken by QMUL and Pfizer UK into improving experiments at pre-clinical drug development. In theory, the most efficient designs for these particular experiments, as well as for many other studies, are optimal designs. Since, however, their implementation poses challenges — and several emerged during the project — optimal designs are uncommon in practice. To address these challenges the thesis introduces a comprehensive design framework, which both generalizes and simplifies optimal design. At the core of this framework are optimal rel

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11

Sun, Fangfang. "On A-optimal Designs for Discrete Choice Experiments and Sensitivity Analysis for Computer Experiments." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1345231162.

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12

Tsai, Pi-Wen. "Three-level designs robust to model uncertainty." Thesis, University of Reading, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389644.

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13

Vahl, Christopher Irvin. "Algortihms for constructing D-optimal designs for multilevel experiments /." Search for this dissertation online, 2005. http://wwwlib.umi.com/cr/ksu/main.

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14

Leesinsky, Peter. "Student designs of experiments as indicators of physics reasoning." Thesis, McGill University, 1991. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=70250.

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The purpose of this study was the assessment of physics reasoning on the basis of students' understanding of motion on an inclined plane. Subjects were presented with a video tape showing a motion experiment in steps and were asked to formulate hypotheses and design an experiment to test these. Subjects thought aloud while specifying the designs and goals of an experiment. Protocols were analyzed by an original method using schema representation techniques. Adequancy of subjects' reasoning was evaluated by comparison to a composite model built from physics domain principles. As more informatio

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15

Marley, Christopher J. "Screening experiments using supersaturated designs with application to industry." Thesis, University of Southampton, 2011. https://eprints.soton.ac.uk/176451/.

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This thesis describes the statistical methodology behind a variety of industrial screening experiments. The primary focus of the thesis is on supersaturated designs that have more parameters to be investigated than runs available. Such designs are particularly useful when experiments are expensive to perform. In addition, the statistical issues behind a real-life screening experiment are investigated, where there is a functional response and the factor levels cannot be set directly. A study to compare several existing design and analysis methods for two-level supersaturated designs was carried

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16

Hilow, Hisham. "Economic expansible-contractible sequential factorial designs for exploratory experiments." Diss., Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/54426.

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Sequential experimentation, especially for factorial treatment structures, becomes important when one or more of the following, conditions exist: observations become available quickly, observations are costly to obtain, experimental results need to be evaluated quickly, adjustments in experimental set-up may be desirable, a quick screening of the importance of various factors is important. The designs discussed in this study are suitable for these situations. Two approaches to sequential factorial experimentation are considered: one-run-at-a-time (ORAT) plans and one-block-at-a-time (OBAT) pla

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17

Donley, David Wayne. "Optimal Designs for Computer Experiments for Determining Optimal Operating Conditions /." The Ohio State University, 1996. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487933648649737.

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18

Tan, Matthias H. Y. "Contributions to quality improvement methodologies and computer experiments." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/48936.

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This dissertation presents novel methodologies for five problem areas in modern quality improvement and computer experiments, i.e., selective assembly, robust design with computer experiments, multivariate quality control, model selection for split plot experiments, and construction of minimax designs. Selective assembly has traditionally been used to achieve tight specifications on the clearance of two mating parts. Chapter 1 proposes generalizations of the selective assembly method to assemblies with any number of components and any assembly response function, called generalized selecti

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19

LAM, CHEN QUIN. "Sequential Adaptive Designs In Computer Experiments For Response Surface Model Fit." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1211911211.

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20

Nyarko, Eric Verfasser], and Rainer [Gutachter] [Schwabe. "Optimal designs for paired comparison experiments / Eric Nyarko ; Gutachter: Rainer Schwabe." Magdeburg : Universitätsbibliothek Otto-von-Guericke-Universität, 2019. http://d-nb.info/1219965790/34.

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21

Nyarko, Eric [Verfasser], and Rainer [Gutachter] Schwabe. "Optimal designs for paired comparison experiments / Eric Nyarko ; Gutachter: Rainer Schwabe." Magdeburg : Universitätsbibliothek Otto-von-Guericke-Universität, 2019. http://nbn-resolving.de/urn:nbn:de:gbv:ma9:1-1981185920-321555.

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22

Hou, Ruizhe. "Optimal Latin Hypercube Designs for Computer Experiments Based on Multiple Objectives." Scholar Commons, 2018. http://scholarcommons.usf.edu/etd/7169.

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Latin hypercube designs (LHDs) have broad applications in constructing computer experiments and sampling for Monte-Carlo integration due to its nice property of having projections evenly distributed on the univariate distribution of each input variable. The LHDs have been combined with some commonly used computer experimental design criteria to achieve enhanced design performance. For example, the Maximin-LHDs were developed to improve its space-filling property in the full dimension of all input variables. The MaxPro-LHDs were proposed in recent years to obtain nicer projections in any subspa

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23

Ho, Wai Man. "Case studies in computer experiments, applications of uniform design and modern modeling techniques." HKBU Institutional Repository, 2001. http://repository.hkbu.edu.hk/etd_ra/290.

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24

Marin, Ofelia. "Designing computer experiments to estimate integrated response functions." Columbus, Ohio : Ohio State University, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1135206870.

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25

Roy, Soma. "Sequential-Adaptive Design of Computer Experiments for the Estimation of Percentiles." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1218032995.

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26

Huang, Yangxin. "Interval estimation of effective doses and optimal designs for quantal response experiments." Thesis, Liverpool John Moores University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.313104.

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27

Ferris, Steven. "Response models and efficient designs for change-over experiments with treatment carryover." Thesis, University of Edinburgh, 1999. http://hdl.handle.net/1842/10900.

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Humans are used as recording instruments in many areas of scientific experimentation. However, their responses are susceptible to bias due to the context in which the sensory stimuli are presented. One recognised source of bias is carryover, i.e. the effect of the previous stimuli on the current judgement. It is therefore important to take account of carryover effects in both the design and analysis of the experiments in order to obtain precise and bias free estimates of experimental treatment effects. In this study we investigate carryover in two areas: sensory profiling of food products and

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28

Truong, David Hien. "Single-Step Factor Screening and Response Surface Optimization Using Optimal Designs with Minimal Aliasing." VCU Scholars Compass, 2010. http://scholarscompass.vcu.edu/etd/64.

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Cheng and Wu (2001) introduced a method for response surface exploration using only one design by using a 3-level design to first screen a large number of factors and then project onto the significant factors to perform response surface exploration. 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 optimal designs with minimal aliasing to find 18, 27, and 30-

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29

Lin, Hefang. "One-Stage and Bayesian Two-Stage Optimal Designs for Mixture Models." Diss., Virginia Tech, 1999. http://hdl.handle.net/10919/30224.

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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 stage design is then generated according to an optimality procedure that collaborates with the improved model from first stage data. Our results show that the Bayesian two-stage D-D optimal design is more efficient than both the Bayesian one-stage D-optimal design and the non-Bayesian one-stage D-o

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30

Schiffl, Katharina [Verfasser]. "Optimal designs for two-color microarray experiments in multi-factorial models / Katharina Schiffl." Aachen : Hochschulbibliothek der Rheinisch-Westfälischen Technischen Hochschule Aachen, 2012. http://d-nb.info/1020253266/34.

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31

Ang, Keng-Ern Joshua. "Extending orthogonal and nearly orthogonal Latin hypercube designs for computer simulation and experiments." Thesis, Monterey California. Naval Postgraduate School, 2006. http://hdl.handle.net/10945/2397.

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32

Penso, Michele Maria Signoreti. "Aplicações de delineamentos sistemáticos em experimentos agronômicos." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-06042018-151348/.

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O objetivo do presente trabalho é analisar a eficácia de um desenho em campo e o quanto este pode facilitar a implantação, avaliação e manutenção dos experimentos, principalmente se estes necessitam de uma grande área para a instalação. O delineamento sistemático é aplicado em áreas, tais como, horticultura, solo, irrigação e vem sendo abordado nas pesquisas florestais que se preocupam em oferecer respostas aos gradientes de espaçamentos que uma espécie apresenta em campo. O trabalho, mostra uma revisão bibliográfica de vários estudos realizados com delineamento sistemático em uma gama de apli

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33

O'Brien, James Scott. "The heterotopia of the city : three experiments for design in an urban environment." Thesis, Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/21744.

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34

Olsson, Ing-Marie. "Experimental Designs at the Crossroads of Drug Discovery." Doctoral thesis, Umeå : Department of Chemistry, Umeå University, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-693.

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35

Lin, Meily. "Construction of designs in the presence of polynomial trends for varietal or factorial experiments /." The Ohio State University, 1989. http://rave.ohiolink.edu/etdc/view?acc_num=osu14875987480194.

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36

Jangid, Anuradha. "Verifying IP-Cores by Mapping Gate to RTL-Level Designs." Case Western Reserve University School of Graduate Studies / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=case1385975878.

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37

Leonard, Robert D. "Considerations for Screening Designs and Follow-Up Experimentation." VCU Scholars Compass, 2015. http://scholarscompass.vcu.edu/etd/3928.

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The success of screening experiments hinges on the effect sparsity assumption, which states that only a few of the factorial effects of interest actually have an impact on the system being investigated. The development of a screening methodology to harness this assumption requires careful consideration of the strengths and weaknesses of a proposed experimental design in addition to the ability of an analysis procedure to properly detect the major influences on the response. However, for the most part, screening designs and their complementing analysis procedures have been proposed separately i

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38

Nicely, Lindsey. "Applications of Sure Independence Screening Analysis for Supersaturated Designs." VCU Scholars Compass, 2012. http://scholarscompass.vcu.edu/etd/2694.

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Experimental design has applications in many fields, from medicine to manufacturing. Incorporating statistics into both the planning and analysis stages of the experiment will ensure that appropriate data are collected to allow for meaningful analysis and interpretation of the results. If the number of factors of interest is very large, or if the experimental runs are very expensive, then a supersaturated design (SSD) can be used for factor screening. These designs have n runs and k > n - 1 factors, so there are not enough degrees of freedom to allow estimation of all of the main effects. Thi

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39

Kessel, Lisa. "Regularities in the Augmentation of Fractional Factorial Designs." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/2993.

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Two-level factorial experiments are widely used in experimental design because they are simple to construct and interpret while also being efficient. However, full factorial designs for many factors can quickly become inefficient, time consuming, or expensive and therefore fractional factorial designs are sometimes preferable since they provide information on effects of interest and can be performed in fewer experimental runs. The disadvantage of using these designs is that when using fewer experimental runs, information about effects of interest is sometimes lost. Although there are method

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40

Zhang, Yulei. "Computer Experiments with Both Quantitative and Qualitative Inputs." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1408042133.

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41

Matthews, D. I. "Replication methods applied to issues of non independence in the designs of contingent valuation experiments." Thesis, Queen's University Belfast, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.679225.

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The author's intention in presenting this thesis is to develop new and simple to apply analytic methods to robustly estimate and compare Willingness to Pay (WTP) estimates and particularly to develop tests for statistical significance in these differences by estimating sampling variance appropriate to the method, taking into account the correlation between estimates incorporating the CV methods and or sampling designs. In particular I am interested in testing differences in estimated valuation statistics, such as Median WTP and thus overcoming aspects of non independence in the welfare estimat

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42

Liang, Li. "Graphical Tools, Incorporating Cost and Optimizing Central Composite Designs for Split-Plot Response Surface Methodology Experiments." Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/26768.

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In many industrial experiments, completely randomized designs (CRDs) are impractical due to restrictions on randomization, or the existence of one or more hard-to-change factors. Under these situations, split-plot experiments are more realistic. The two separate randomizations in split-plot experiments lead to different error structure from in CRDs, and hence this affects not only response modeling but also the choice of design. In this dissertation, two graphical tools, three-dimensional variance dispersion graphs (3-D VDGs) and fractions of design space (FDS) plots are adapted for split-plot

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43

Kumar, Arun. "Sequential Calibration Of Computer Models." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1218568898.

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44

Pokhilko, Victoria V. "Statistical Designs for Network A/B Testing." VCU Scholars Compass, 2019. https://scholarscompass.vcu.edu/etd/6101.

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A/B testing refers to the statistical procedure of experimental design and analysis to compare two treatments, A and B, applied to different testing subjects. It is widely used by technology companies such as Facebook, LinkedIn, and Netflix, to compare different algorithms, web-designs, and other online products and services. The subjects participating in these online A/B testing experiments are users who are connected in different scales of social networks. Two connected subjects are similar in terms of their social behaviors, education and financial background, and other demographic aspects.

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45

Amanna, Ashwin Earl. "Statistical Experimental Design Framework for Cognitive Radio." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/77331.

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This dissertation presents an empirical approach to identifying decisions for adapting cognitive radio parameters with no a priori knowledge of the environment. Cognitively inspired radios, attempt to combine observed metrics of system performance with artificial intelligence decision-making algorithms. Current architectures trend towards hybrid combinations of heuristics, such as genetic algorithms (GA) and experiential methods, such as case-based reasoning (CBR). A weakness in the GA is its reliance on limited mathematical models for estimating bit error rate, packet error rate, throughput,

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46

Silver, Ian. "Genetically Adjusted Propensity Score Matching: A Proposal of a Novel Analytical Tool to Help Close the Gap between Non-experimental Designs and True Experiments in the Social Sciences." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1561996445863208.

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47

Thalberg, Hege Grøstad. "A Comparison Study of Different Optimizing Criteria and Confounding Patterns For Multi-Level Binary Replacement and Other Designs Used in Computer Experiments." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for matematiske fag, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-14418.

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We have constructed four different types of designs for computer experiments. Thedesign types are based on latin hypercube sampling (LHS), orthogonal arrays (OA), ran-dom sampling and the recently proposed multi-level binary replacement (MBR) design.For each type of design we have attempted to find the best possible design out of acertain number of constructed designs using three different optimizing criteria: the alias sum of square criterion (ASSC), the L-criterion and a modified A-criterion. The chosen design has then been tested by fitting an approximate model and calculating maximum error

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48

Pfeifer, Hannes [Verfasser], Oskar [Akademischer Betreuer] Painter, and Stefan [Gutachter] Götzinger. "Silicon optomechanical crystals for arrays - tunability, disorder and 2D designs for low temperature experiments / Hannes Pfeifer ; Gutachter: Stefan Götzinger ; Betreuer: Oskar Painter." Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2018. http://d-nb.info/116695112X/34.

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49

Ke, Xiao. "On lower bounds of mixture L₂-discrepancy, construction of uniform design and gamma representative points with applications in estimation and simulation." HKBU Institutional Repository, 2015. https://repository.hkbu.edu.hk/etd_oa/152.

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Two topics related to the experimental design are considered in this thesis. On the one hand, the uniform experimental design (UD), a major kind of space-filling design, is widely used in applications. The majority of UD tables (UDs) with good uniformity are generated under the centralized {dollar}L_2{dollar}-discrepancy (CD) and the wrap-around {dollar}L_2{dollar}-discrepancy (WD). Recently, the mixture {dollar}L_2{dollar}-discrepancy (MD) is proposed and shown to be more reasonable than CD and WD in terms of uniformity. In first part of the thesis we review lower bounds for MD of two-level d

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50

Montenon, Alaric. "Analyse, mutualisation et optimisation par la commande de la consommation énergétique des héliostats autonomes des centrales à concentration solaire." Phd thesis, Toulouse, INPT, 2013. http://oatao.univ-toulouse.fr/9709/1/montenon_partie_1_sur_2.pdf.

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Les centrales à concentration utilisent la radiation solaire directe pour produire de la chaleur et, comme dans la plupart des cas, de l’électricité par transformation de cette chaleur. Les centrales dites « à tour » sont associées à un vaste champ héliostatique dont l’alimentation se fait généralement par de longs câbles à l’intérieur de tranchées qui peuvent mesurer plusieurs kilomètres. Pour pallier cette solution, la thèse s’inscrit donc dans l’évaluation de la mise en place d’héliostats autonomes énergétiquement via un générateur solaire et un stockage électrochimique (batteries). Le dime

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