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dc.contributor.author Bradley, Nuran
dc.date.accessioned 2013-09-12T20:32:53Z
dc.date.available 2013-09-12T20:32:53Z
dc.date.issued 2007
dc.identifier.uri http://hdl.handle.net/2022/16795
dc.description Thesis (M.A.) -- Indiana University South Bend, 2007. en
dc.description.abstract The experimentation plays an important role in Science, Engineering, and Industry. The experimentation is an application of treatments to experimental units and then measurement of one or more responses. It is a part of scientific method. It requires observing and gathering information about how process and system works. In an experiment, some input x’s transform into an output that has one or more observable response variables y. Therefore, useful results and conclusions can be drawn by experiment. In order to obtain an objective conclusion an experimenter needs to plan and design the experiment, and analyze the results. There are many types of experiments used in real-world situations and problems. When treatments are from a continuous range of values then the true relationship between y and x’s might not be known. The approximation of the response function y = f (x1, x2,...,xq) + e is called Response Surface Methodology. This thesis puts emphasis on designing, modeling, and analyzing the Response Surface Methodology. The three types of Response Surface Methodology, the first-order, the second-order,and three-level fractional factorial, will be explained and analyzed in depth. The thesis will also provide examples of application of each model by numerically and graphically using computer software. en
dc.language.iso en_US en
dc.publisher Indiana University South Bend en
dc.relation.isversionof https://www.iusb.edu/math-compsci/graduate-thesis.php en
dc.subject Response surfaces (Statistics) en
dc.subject Experimental design. en
dc.subject Dissertations, Academic--Indiana--South Bend. en
dc.subject Indiana University South Bend--Dissertations. en
dc.title The Response Surface Methodology en
dc.type Thesis en


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