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Relevant bibliographies by topics / Experiments designs

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Dissertations / Theses

Academic literature on the topic 'Experiments designs'

Author: Grafiati

Published: 31 August 2024

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Dissertations / Theses on the topic "Experiments designs"

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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