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The Impact of Test Suite Granularity on the.. - Rothermel.. (2001) (3 citations) (Correct)
....the e ort involved in preparing subject versions (in retrospect, over 80 hours per version after establishment of the initial infrastructure) we wanted to detect meaningful e ects with a minimal number of invested resources. There are several statistical approaches for determining sample size [19], they di er in terms of the information they require as input for sample size calculation. We decided to determine sample size using an approximation of the di erence that is worth detecting in the dependent variables (also known as D ) to distinguish practical dif Treat. Treat. Treat. Treat. ....
....the degrees of freedom of the error term over the operating characteristic curve, we estimated that ve observations per cell would be sucient to achieve a power greater than .80 (probability of rejecting a false null hypothesis) for a two block factorial design with two treatments, and alpha=0. 05 [19]. Hence, each cell in Table 4 has ve observations, corresponding to ve versions from each program under each treatment combination. These versions constitute random e ects that we do not control, and we consider them samples from a population of versions. 3.4 Threats to Validity In this section ....
D. C. Montgomery. Design and Analysis of Experiments. John Wiley and Sons, New York, fourth edition, 1997.
Flip Chip Design Rule Development for Multiple Signal .. - Staiculescu, Laskar, .. (2000) (Correct)
....so that the experimenter can observe and identify the reasons for changes in the output response. If the experiment is correctly conducted, valid and objective conclusions are obtained for the system. The most complete strategy when dealing with several factors is a full factorial experiment [5]. The effect of a factor is defined as the change in response produced by the change in the level of the factor. For the multiple ground bump analysis, the two input variables are number of bumps at four levels (1, 2, 3 and 4) and CPW transmission launch configuration at two levels (radial and ....
....The output variable is chosen to be S 11 at 20 GHz, and the results of the 8 simulations performed under identical conditions, except the input variable variation, are presented in Table 1. The last column shows the value of the output. These have been statistically analysed and the F statistic [5] calculated. The results of the statistical analysis are presented in Table 2, with the value of the F statistic on the last column. Variables with higher F are more statistically significant. The threshold value for statistical significance has been calculated to be 3.2 for this application [5] ....
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Douglas C. Montgomery, "Design and analysis of experiments", J. Wiley & Sons, 1996.
Principal Components Analysis Of Triaxial Vibration Data From.. - Tumer (2002) (Correct)
....by taking vibration recordings during a predetermined set of flight conditions; these constituted fourteen maneuvers. The experiments are based on a latin square design which counter balances the flight conditions to assure that gross weight and ambient temperature changes do not bias the results [4, 10]. The use of a carefully designed experiment allows for various sources of variation and their interactions to be investigated and quantified in a systematic fashion. In this experimental design, two pilots fly fourteen maneuvers each, and repeat each maneuver three times, in two different sets. ....
D.C. Montgomery. Design and Analysis of Experiments. John Wiley and Sons, New York, 1991.
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D. C. Montgomery. Design and Analysis of Experiments. John Wiley & Sons, sixth edition, 2005.
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D. C. Montgomery. Design and Analysis of Experiments. John Wiley and Sons, New York, fourth edition, 1997.
World Congresses of Structural and Multidisciplinary Optimization - Rio De Janeiro (Correct)
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D. C. Montgomery, "Design and Analysis of Experiments". John Wiley & Sons, New York, 5. ed., 2001.
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D. C. Montgomery. Design and Analysis of Experiments. John Wiley & Sons, New York, NY, 5th edition, 2001.
Unknown - World Congress On (Correct)
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Douglas C. Montgomery. Design and Analysis of Experiments. John Wiley and Sons, 3 edition.
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D. C. Montgomery. Design and Analysis of Experiments. John Wiley and Sons Inc., New York, 2001.
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D. C. Montgomery. Design and Analysis of Experiments. John Wiley & Sons, Inc., New York, NY, 5th edition, 1997.
Experimental Analysis of Evolution Strategies - Overview and .. - Bartz-Beielstein (Correct)
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D. C. Montgomery. Design and Analysis of Experiments. John Wiley & Sons, New York, NY, 5th edition, 2001.
Flexibility and Efficiency Enhancements for Constrained Global.. - Sasena (2002) (Correct)
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D.C. Montgomery. Design and Analysis of Experiments. J. Wiley & Sons, New York, fourth edition, 1997.
Tuning Search Algorithms for Real-World Applications: A.. - Bartz-Beielstein, Markon (Correct)
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D. C. Montgomery. Design and Analysis of Experiments. John Wiley & Sons, New York, NY, 5th edition, 2001.
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D. C. Montgomery, Design and Analysis of Experiments, 5th ed., Wiley, New York #2000#.
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D. Montgomery, "Design and Analysis of Experiments" (Third Edition), Wiley 1991.
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Douglas C. Montgomery. Design and Analysis of Experiments, chapter 10, pages 461--466. John Wiley & Sons, Inc., 4th edition, 1997.
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D. Montgomery (1991), Design and Analysis of Experiments. John Wiley & sons, Inc.
Improving Processor Performance and Simulation Methodology - Yi (2003) (Correct)
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D. Montgomery, "Design and Analysis of Experiments" (Third Edition), Wiley 1991.
Experimental Analysis of Evolution Strategies - Overview and .. - Bartz-Beielstein (2003) (Correct)
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D. C. Montgomery. Design and Analysis of Experiments. John Wiley & Sons, New York, NY, 5th edition, 2001.
A Sequential Procedure for Manufacturing System Design - Chiadamrong (2003) (Correct)
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Montgomery DC (1991) Design and Analysis of Experiments, Edition, John Wiley & Sons, Singapore.
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D. C. Montgomery, Design and analysis of experiments, 4th ed. New York, New York: John Wiley and Sons, 1997.
Tuning Search Algorithms for Real-World Applications: A.. - Bartz-Beielstein, Markon (2004) (Correct)
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D. C. Montgomery. Design and Analysis of Experiments. John Wiley & Sons, New York, NY, 5th edition, 2001.
Experimental and Simulation Analysis of Perspective - Difference In Scenario-Based (Correct)
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Montgomery, 1997. Design and Analysis of Experiments. Fourth Edition. Wiley.
Parametric Model Generation Algorithm for Planar Microwave - Structures Based On (Correct)
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Douglas C.Montgomery, "Design and Analysis of Experiments," New york -- John Wiley , 3 Edition 1991.
Constructing Probabilistic Roadmaps with Powerful Local Planning.. - Isto (2002) (3 citations) (Correct)
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D. C. Montgomery, Design and Analysis of Experiments, John Wiley & Sons, New York, 1997.
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