Academic literature on the topic 'Design-under-test'

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Journal articles on the topic "Design-under-test"

1

Perez-Richet, Eduardo, and Vasiliki Skreta. "Test Design Under Falsification." Econometrica 90, no. 3 (2022): 1109–42. http://dx.doi.org/10.3982/ecta16346.

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We study the optimal design of tests with manipulable inputs. Tests take a unidimensional state of the world as input and output, an informative signal to guide a receiver's approve or reject decision. The receiver wishes to only approve states that comply with her baseline standard. An agent with a preference for approval can covertly falsify the state of the world at a cost. We characterize receiver‐optimal tests and show they rely on productive falsification by compliant states. They work by setting a more stringent operational standard, and granting noncompliant states a positive approval probability to deter them from falsifying to the standard. We also study how falsification‐detection technologies improve optimal tests. They allow the designer to build an implicit cost of falsification into the test, in the form of signal devaluations. Exploiting this channel requires enriching the signal space.
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2

Rosar, Frank. "Test design under voluntary participation." Games and Economic Behavior 104 (July 2017): 632–55. http://dx.doi.org/10.1016/j.geb.2017.06.002.

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3

., Maseer Ahmed S. N. "DESIGN AND IMPLIMENTATION OF TEST PATTERN GENERATOR FOR DESIGN UNDER TEST." International Journal of Research in Engineering and Technology 05, no. 16 (2016): 192–96. http://dx.doi.org/10.15623/ijret.2016.0516040.

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4

Keyes, Tim K., and Martin S. Levy. "Analysis of Levene’s Test Under Design Imbalance." Journal of Educational and Behavioral Statistics 22, no. 2 (1997): 227–36. http://dx.doi.org/10.3102/10769986022002227.

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By means of three analyses, the operating characteristics of Levene‘s test of homoscedasticity in a 1 -way layout are shown to be systematically affected by design imbalance when the error terms are normal. We consider a formal general linear hypothesis analysis, an empirical analysis, and an analysis of expected mean squares, employing the heuristic justification for an ordinary ANOVA. We propose a simple correction involving leverage and analyze its effect, as well as that of another adjustment, on power and level.
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Keyes, Tim K., and Martin S. Levy. "Analysis of Levene's Test under Design Imbalance." Journal of Educational and Behavioral Statistics 22, no. 2 (1997): 227. http://dx.doi.org/10.2307/1165379.

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6

Puhan, Gautam, and Longjuan Liang. "Equating Subscores under the Nonequivalent Anchor Test (NEAT) Design." Educational Measurement: Issues and Practice 30, no. 1 (2011): 23–35. http://dx.doi.org/10.1111/j.1745-3992.2010.00197.x.

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7

UEDA, Takashi, Tomonori IKEGAMI, Mariko MATSUDA, and Yoji HANAWA. "Design of Fatigue Test Specimen under High Compressive Mean Stress." Proceedings of the Materials and Mechanics Conference 2018 (2018): OS0817. http://dx.doi.org/10.1299/jsmemm.2018.os0817.

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8

Lewnard, Joseph A., Christine Tedijanto, Benjamin J. Cowling, and Marc Lipsitch. "Measurement of Vaccine Direct Effects Under the Test-Negative Design." American Journal of Epidemiology 187, no. 12 (2018): 2686–97. http://dx.doi.org/10.1093/aje/kwy163.

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9

He, Tao, Hua Zhong Li, Tang Ren Dan, De Fen Zhang, Jun Qiang Liu, and Guo Rong Qin. "Design and Analysis of Test Model under Heterogeneous and Internet-Ware." Applied Mechanics and Materials 687-691 (November 2014): 2635–39. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.2635.

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Studying a method based on UML model software architecture performance prediction: this method chosen software architecture design in UML, use case diagram, activity diagram and component diagram, and pull stereotypes and tagged values in it, and enlarge them to be UML SPT model, and then turn UML SPT model into queuing network model through conversion algorithm, this algorithm can deal with UML model activity diagram which included branch node and confluent nodes. Finally, using frequency domain analysis theory to get queuing network model, to know performance parameters and performance bottlenecks and also introduce the design plan of UML software architecture performance automation tools, and give a example of performance prediction software architecture.
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10

Darwiesh, M., Ashraf El-Sherif, H. Ayoub, Yasser El-sharkawy, and Mahmoud Hassan. "The Design and Implementation of Under-Water Laser Imaging Test Aquarium." International Conference on Mathematics and Engineering Physics 9, no. 6 (2018): 1–15. http://dx.doi.org/10.21608/icmep.2018.29582.

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