Relevant bibliographies by topics / Experimental Design

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Experimental Design'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Experimental Design"

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Hušková, Marie, Jan Ámos Víšek, and Dana Vorlíčková. "Some remarks on experimental design." Applications of Mathematics 31, no. 1 (1986): 19–26. http://dx.doi.org/10.21136/am.1986.104181.

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Hall, Ashley. "Experimental Design: Design Experimentation." Design Issues 27, no. 2 (2011): 17–26. http://dx.doi.org/10.1162/desi_a_00074-hall.

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Bischoff, Wolfgang. "Experimental Design." Statistics 26, no. 2 (1995): 150–53. http://dx.doi.org/10.1080/02331889508802476.

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Dette, Holger. "Experimental Design." Statistics 26, no. 2 (1995): 153–61. http://dx.doi.org/10.1080/02331889508802477.

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Krafft, Olaf. "Experimental Design." Statistics 26, no. 2 (1995): 162. http://dx.doi.org/10.1080/02331889508802478.

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Lee, Carl. "Experimental Design." Statistics 26, no. 2 (1995): 162–66. http://dx.doi.org/10.1080/02331889508802479.

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Müller, Werner G. "Experimental Design." Statistics 26, no. 2 (1995): 166–67. http://dx.doi.org/10.1080/02331889508802480.

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Pázman, Andrej. "Experimental Design." Statistics 26, no. 2 (1995): 167–68. http://dx.doi.org/10.1080/02331889508802481.

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Pukelsheim, F., and A. Wilhelm. "Experimental Design." Statistics 26, no. 2 (1995): 168–72. http://dx.doi.org/10.1080/02331889508802482.

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Schwabe, R. "Experimental Design." Statistics 26, no. 2 (1995): 172–73. http://dx.doi.org/10.1080/02331889508802483.

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Dissertations / Theses on the topic "Experimental Design"

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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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Kang, Lulu. "Computer and physical experiments: design, modeling, and multivariate interpolation." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34805.

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Many problems in science and engineering are solved through experimental investigations. Because experiments can be costly and time consuming, it is important to efficiently design the experiment so that maximum information about the problem can be obtained. It is also important to devise efficient statistical methods to analyze the experimental data so that none of the information is lost. This thesis makes contributions on several aspects in the field of design and analysis of experiments. It consists of two parts. The first part focuses on physical experiments, and the second part on comput
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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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Serinoli, Camila. "Planejamentos experimentais em modelos de regressão linear." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-02062009-185614/.

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Neste trabalho apresentamos os principais objetivos dos planejamentos experimentais em modelos de regressão. Na primeira parte do trabalho descrevemos os planejamentos com alavancagem constante, que permitem que todos os pontos amostrais exerçam a mesma influência nas estimativas dos parâmetros do modelo de regressão. Abordamos ainda outros tipos de planejamentos experimentais que obedecem a certos critérios como, por exemplo: G-otimalidade, D-otimalidade e Planejamentos ortogonais. Finalizando o trabalho foi apresentada uma análise prática em que as principais medidas estudadas foram aplicada
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Vollebregt, Twan A. J. "Experimental design for simulation." Thesis, University of Canterbury. Management, 1996. http://hdl.handle.net/10092/5491.

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Classical experimental design methods have gained widespread acceptance in the simulation literature. The simulation experimental design literature concentrates almost exclusively on factorial, fractional factorial, and composite simplex designs, which can be significantly more efficient than random or ad-hoc methods. However, there are several substantial differences between the classical (statistical) and simulation contexts that have received little attention. Most importantly, the design literature concentrates on obtaining maximum information from a set number of experiments, while in sim
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Zhang, Boya. "Computer Experimental Design for Gaussian Process Surrogates." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/99886.

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With a rapid development of computing power, computer experiments have gained popularity in various scientific fields, like cosmology, ecology and engineering. However, some computer experiments for complex processes are still computationally demanding. A surrogate model or emulator, is often employed as a fast substitute for the simulator. Meanwhile, a common challenge in computer experiments and related fields is to efficiently explore the input space using a small number of samples, i.e., the experimental design problem. This dissertation focuses on the design problem under Gaussian proces
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Vastola, Justin Timothy. "Sequential experimental design under competing prior knowledge." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/47724.

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This research focuses on developing a comprehensive framework for designing and modeling experiments in the presence of multiple sources of competing prior knowledge. In particular, methodology is proposed for process optimization in high-cost, low-resource experimental settings where the underlying response function can be highly non-linear. In the first part of this research, an initial experimental design criteria is proposed for optimization problems by combining multiple, potentially competing, sources of prior information--engineering models, expert opinion, and data from past experime
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Pryde, Meinwen. "Evolutionary computation and experimental design." Thesis, University of South Wales, 2001. https://pure.southwales.ac.uk/en/studentthesis/evolutionary-computation-and-experimental-design(acc0a9a5-aa01-4d4a-aa4e-836ee5190a48).html.

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This thesis describes the investigations undertaken to produce a novel hybrid optimisation technique that combines both global and local searching to produce good solutions 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 experiments. A range of new hybrid small population genetic algorithms are created that contain evolutionary operation in all generations (static
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Miranda, Montero Juan Jose. "Essays on Experimental and Quasi-Experimental Policy Design and Evaluation." Digital Archive @ GSU, 2012. http://digitalarchive.gsu.edu/econ_diss/86.

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This dissertation comprises two essays. The unifying theme is the evaluation of non-pecuniary (information or norm based messages) conservation programs. These types of policies are widely applied in developing and developed countries to promote conservation, however, their empirical evidence and their effectiveness are not well documented. Each chapter examines some methodological facets of the heterogeneity of non-pecuniary conservation programs and the reliability of non-experimental methods (program evaluation and econometric techniques) to evaluate treatment effects in the context of non-
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Maruri-Aguilar, Hugo. "Algebraic statistics in experimental design." Thesis, University of Warwick, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.441697.

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Books on the topic "Experimental Design"

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Berger, Paul D., Robert E. Maurer, and Giovana B. Celli. Experimental Design. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-64583-4.

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Burke, Johnson, Turner Lisa, and Christensen Larry B. 1941-, eds. Research methods and design. Allyn & Bacon, 2010.

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Christensen, Larry B. Research methods, design, and analysis. Allyn & Bacon, 2010.

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Burke, Johnson, and Turner Lisa Anne, eds. Research methods, design, and analysis. Pearson, 2014.

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Haaland, Perry D. Experimental design in biotechnology. Marcel Dekker, 1989.

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Haaland, Perry D. Experimental design in biotechnology. Marcel Dekker, 1990.

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Cash, Philip, Tino Stanković, and Mario Štorga, eds. Experimental Design Research. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33781-4.

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Ryan, Thomas P. Modern Experimental Design. John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/0470074353.

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D, Mathieu, and Phan Roger Tan Luu, eds. Pharmaceutical experimental design. Dekker, 1999.

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Morgan, Ed. Chemometrics: Experimental design. Published on behalf of ACOL, London, by J. Wiley, 1995.

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Book chapters on the topic "Experimental Design"

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Mariel, Petr, David Hoyos, Jürgen Meyerhoff, et al. "Experimental Design." In Environmental Valuation with Discrete Choice Experiments. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62669-3_3.

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AbstractThis chapter covers various issues related to the experimental design, a statistical technique at the core of a discrete choice experiment. Specifically, it focuses on the dimensionality of a choice experiment and the statistical techniques used to allocate attribute levels to choice tasks. Among others, the pros and cons of orthogonal designs, optimal orthogonal in the differences designs as well as efficient designs are addressed. The last section shows how a simulation exercise can help to test the appropriateness of the experimental design.
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Mariel, Petr, Danny Campbell, Erlend Dancke Sandorf, Jürgen Meyerhoff, Ainhoa Vega-Bayo, and Rebecca Blevins. "Experimental Design." In The Economics of Non-Market Goods and Resources. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-89338-4_5.

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Abstract This chapter walks the reader through the process of generating an experimental design in R. We generate an experimental design by combining attributes and levels into alternatives and choice tasks, which allow us to estimate model parameters and understand preferences through trade-offs. In this chapter, we cover three different types of designs: orthogonal, random, and efficient designs, highlighting their respective advantages. We delve deeper into efficient designs, covering important concepts such as attribute level balance, utility balance, and priors. Using the spdesign package
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Yandell, Brian S. "Experimental Design." In Practical Data Analysis for Designed Experiments. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-3035-4_3.

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Dormann, Carsten. "Experimental Design." In Environmental Data Analysis. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55020-2_14.

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Juristo, Natalia, and Ana M. Moreno. "Experimental Design." In Basics of Software Engineering Experimentation. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-3304-4_5.

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Gooch, Jan W. "Experimental Design." In Encyclopedic Dictionary of Polymers. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_15240.

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Lawal, Bayo. "Experimental Design." In Applied Statistical Methods in Agriculture, Health and Life Sciences. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05555-8_9.

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Lewis, Jonathan. "Experimental Design." In Handbook of Research Ethics and Scientific Integrity. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-76040-7_19-1.

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Fehrenbacher, Dennis D. "Experimental Design." In Contributions to Management Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33599-0_3.

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Lewis, Jonathan. "Experimental Design." In Handbook of Research Ethics and Scientific Integrity. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-16759-2_19.

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Conference papers on the topic "Experimental Design"

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Li, Yuanyuan, Lili Su, Carlee Joe-Wong, Edmund Yeh, and Stratis Ioannidis. "Distributed Experimental Design Networks." In IEEE INFOCOM 2024 - IEEE Conference on Computer Communications. IEEE, 2024. http://dx.doi.org/10.1109/infocom52122.2024.10621241.

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Murali, K. "Design Principles of Hyperchaotic Circuits." In EXPERIMENTAL CHAOS: 6th Experimental Chaos Conference. AIP, 2002. http://dx.doi.org/10.1063/1.1487516.

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Schwarz, Wolfgang. "Design and Realisation of Chaotic Encryption Systems." In EXPERIMENTAL CHAOS: 6th Experimental Chaos Conference. AIP, 2002. http://dx.doi.org/10.1063/1.1487539.

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de Aguiar, P. F., and D. L. Massart. "Experimental design." In The first European conference on computational chemistry (E.C.C.C.1). AIP, 1995. http://dx.doi.org/10.1063/1.47781.

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Li, Cheng, Mazher Mohammed, Ian Gibson, et al. "Accelerating Experimental Design by Incorporating Experimenter Hunches." In 2018 IEEE International Conference on Data Mining (ICDM). IEEE, 2018. http://dx.doi.org/10.1109/icdm.2018.00041.

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Dobler, Judith. "Experimental sketching." In Nordes 2013: Experiments in Design Research. Nordes, 2013. http://dx.doi.org/10.21606/nordes.2013.061.

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Coates, J. "Experimental Ship Archaeology." In Historic Ships Design, Restoration & Maintenance. RINA, 1996. http://dx.doi.org/10.3940/rina.hist.1996.2.

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Yazdani J., A., and B. B. Maini. "New Experimental Model Design for Vapex Process Experiments." In Canadian International Petroleum Conference. Petroleum Society of Canada, 2004. http://dx.doi.org/10.2118/2004-263.

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Tantrabandit, Manop. "Integrated learning in practical machine element design course: a case study of V-pulley design." In International Conference on Experimental Mechanics 2013 and the Twelfth Asian Conference on Experimental Mechanics, edited by Somnuk Sirisoonthorn. SPIE, 2014. http://dx.doi.org/10.1117/12.2054289.

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Pang, Baojun, Yao Zhu, and Bingzheng Gai. "Strain rate design in SHPB test." In Fourth International Conference on Experimental Mechanics, edited by Chenggen Quan, Kemao Qian, Anand K. Asundi, and Fook S. Chau. SPIE, 2009. http://dx.doi.org/10.1117/12.850894.

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Reports on the topic "Experimental Design"

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Smucker, Byran. Introduction to Experimental Design: Concepts and Applications. Instats Inc., 2025. https://doi.org/10.61700/irihunj9xjogy1745.

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This workshop introduces experimental design and its key principles, including randomization, replication, and blocking. It features hands-on demonstrations with real-world examples from biomedical experiments with applications across the sciences. By the end, participants will be equipped to design robust, reproducible studies and avoid common pitfalls in experimental research.
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Moeyaert, Mariola. Single-Case Experimental Design and Analysis. Instats Inc., 2023. http://dx.doi.org/10.61700/dqm958awo62hr469.

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This seminar will give you a strong working understanding of methods used to design and analyze single-case experimental design studies (i.e., n-of-1 trials, personalized trials, intrasubject, single-subjects, etc.), including the assumptions underlying these methods and their limitations as well as their benefits. Demonstrations using real datasets will be incorporated together with hand-on exercise so that you will learn both the basic logic of single-case experiments and how to use them in your own research. In-depth interpretation of the obtained results will be made. An official Instats c
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Moeyaert, Mariola. Single-Case Experimental Design and Analysis. Instats Inc., 2023. http://dx.doi.org/10.61700/kqxfa5c03bou9469.

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This seminar will give you a strong working understanding of methods used to design and analyze single-case experimental design studies (i.e., n-of-1 trials, personalized trials, intrasubject, single-subjects, etc.), including the assumptions underlying these methods and their limitations as well as their benefits. Demonstrations using real datasets will be incorporated together with hand-on exercise so that you will learn both the basic logic of single-case experiments and how to use them in your own research. In-depth interpretation of the obtained results will be made. An official Instats c
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Burlig, Fiona, Louis Preonas, and Matt Woerman. Panel Data and Experimental Design. National Bureau of Economic Research, 2019. http://dx.doi.org/10.3386/w26250.

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Williges, Robert C., and Sam E. Middlebrooks. An Automated Tool for Developing Experimental Designs: The Computer-Aided Design Reference for Experiments (CADRE). Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada493809.

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Herdic, peter C., Brian H. Houston, and Robert D. Corsaro. PAVAD B Design and Experimental Results Report. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada451330.

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A. J. Honson, D. DeCarli, and S. V. Crowder. Small Sample Experimental Design Optimization and Repair. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/5982.

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Busack, Craig, Curtis Knudsen, and Anne Marshall. Yakima Hatchery Experimental Design : Annual Progress Report. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/5988364.

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Pritzkau, David P. Experimental Design to Study RF Pulsed Heating. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/10015.

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Freeman, Laura J., Thomas H. Johnson, and James R. Simpson. Power Analysis Tutorial for Experimental Design Software. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada619843.

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