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Статті в журналах з теми "TESTING DATA"
Kumar, Gagan, and Vinay Chopra. "Automatic Test Data Generation for Basis Path Testing." Indian Journal Of Science And Technology 15, no. 41 (November 5, 2022): 2151–61. http://dx.doi.org/10.17485/ijst/v15i41.1503.
Повний текст джерелаGolfarelli, Matteo, and Stefano Rizzi. "Data Warehouse Testing." International Journal of Data Warehousing and Mining 7, no. 2 (April 2011): 26–43. http://dx.doi.org/10.4018/jdwm.2011040102.
Повний текст джерелаUzych, Leo. "Genetic Testing Data." Journal of Occupational & Environmental Medicine 38, no. 1 (January 1996): 13–14. http://dx.doi.org/10.1097/00043764-199601000-00001.
Повний текст джерелаRischitelli, Gary. "Genetic Testing Data." Journal of Occupational & Environmental Medicine 38, no. 1 (January 1996): 14. http://dx.doi.org/10.1097/00043764-199601000-00002.
Повний текст джерелаWalczak, Przemysław, and Jadwiga Daszyńska-Daszkiewicz. "Testing microphysics data." Proceedings of the International Astronomical Union 9, S301 (August 2013): 221–28. http://dx.doi.org/10.1017/s1743921313014361.
Повний текст джерелаSurname, Bob. "Testing CrossMark data." Journal of CrossMark Testing 1, no. 2 (2011): 20. http://dx.doi.org/10.5555/cm_test_2.
Повний текст джерелаHarrold, Mary Jean, and Mary Lou Soffa. "Interprocedual data flow testing." ACM SIGSOFT Software Engineering Notes 14, no. 8 (December 1989): 158–67. http://dx.doi.org/10.1145/75309.75327.
Повний текст джерелаKrueger, Alan B. "Stress Testing Economic Data." Business Economics 45, no. 2 (April 2010): 110–15. http://dx.doi.org/10.1057/be.2010.4.
Повний текст джерелаFaitelson, David, and Shmuel Tyszberowicz. "Data refinement based testing." International Journal of System Assurance Engineering and Management 2, no. 2 (June 2011): 144–54. http://dx.doi.org/10.1007/s13198-011-0060-y.
Повний текст джерелаRay, L. Bryan. "Testing biochemical data by simulation." Science 369, no. 6502 (July 23, 2020): 387.10–389. http://dx.doi.org/10.1126/science.369.6502.387-j.
Повний текст джерелаДисертації з теми "TESTING DATA"
Araujo, Roberto Paulo Andrioli de. "Scalable data-flow testing." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/100/100131/tde-14112014-155259/.
Повний текст джерелаTeste de fluxo de dados (TFD) foi introduzido há mais de trinta anos com o objetivo de criar uma avaliação mais abrangente da estrutura dos programas. TFD exige testes que percorrem caminhos nos quais a atribuição de valor a uma variável (definição) e a subsequente referência a esse valor (uso) são verificados. Essa relação é denominada associação definição-uso. Enquanto as ferramentas de teste de fluxo de controle são capazes de lidar com sistemas compostos de programas grandes e que executam durante bastante tempo, as ferramentas de TFD não têm obtido o mesmo sucesso. Esta situação é, em parte, devida aos custos associados ao rastreamento de associações definição-uso em tempo de execução. Recentemente, foi proposto um algoritmo --- chamado \\textit (BA) --- que usa vetores de bits e operações bit a bit para monitorar associações definição-uso em tempo de execução. Esta pesquisa apresenta a implementação de BA para programas compilados em Java. Abordagens anteriores são capazes de lidar com programas pequenos e de médio porte com altas penalidades em termos de execução e memória. Os resultados experimentais mostram que, usando BA, é possível utilizar TFD para verificar sistemas com mais de 250 mil linhas de código e 300 mil associações definição-uso. Além disso, para vários programas, a penalidade de execução imposta por BA é comparável àquela imposta por uma popular ferramenta de teste de fluxo de controle.
McGaughey, Karen J. "Variance testing with data depth /." Search for this dissertation online, 2003. http://wwwlib.umi.com/cr/ksu/main.
Повний текст джерелаKhan, M. Shahan Ali, and Ahmad ElMadi. "Data Warehouse Testing : An Exploratory Study." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4767.
Повний текст джерелаShahan (+46 736 46 81 54), Ahmad (+46 727 72 72 11)
Andersson, Johan, and Mats Burberg. "Testing For Normality of Censored Data." Thesis, Uppsala universitet, Statistiska institutionen, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-253889.
Повний текст джерелаSestok, Charles K. (Charles Kasimer). "Data selection in binary hypothesis testing." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/16613.
Повний текст джерелаIncludes bibliographical references (p. 119-123).
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Traditionally, statistical signal processing algorithms are developed from probabilistic models for data. The design of the algorithms and their ultimate performance depend upon these assumed models. In certain situations, collecting or processing all available measurements may be inefficient or prohibitively costly. A potential technique to cope with such situations is data selection, where a subset of the measurements that can be collected and processed in a cost-effective manner is used as input to the signal processing algorithm. Careful evaluation of the selection procedure is important, since the probabilistic description of distinct data subsets can vary significantly. An algorithm designed for the probabilistic description of a poorly chosen data subset can lose much of the potential performance available to a well-chosen subset. This thesis considers algorithms for data selection combined with binary hypothesis testing. We develop models for data selection in several cases, considering both random and deterministic approaches. Our considerations are divided into two classes depending upon the amount of information available about the competing hypotheses. In the first class, the target signal is precisely known, and data selection is done deterministically. In the second class, the target signal belongs to a large class of random signals, selection is performed randomly, and semi-parametric detectors are developed.
by Charles K. Sestok, IV.
Ph.D.
Li, Yan. "Multiple Testing in Discrete Data Setting." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1276747166.
Повний текст джерелаClements, Nicolle. "Multiple Testing in Grouped Dependent Data." Diss., Temple University Libraries, 2013. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/253695.
Повний текст джерелаPh.D.
This dissertation is focused on multiple testing procedures to be used in data that are naturally grouped or possess a spatial structure. We propose `Two-Stage' procedure to control the False Discovery Rate (FDR) in situations where one-sided hypothesis testing is appropriate, such as astronomical source detection. Similarly, we propose a `Three-Stage' procedure to control the mixed directional False Discovery Rate (mdFDR) in situations where two-sided hypothesis testing is appropriate, such as vegetation monitoring in remote sensing NDVI data. The Two and Three-Stage procedures have provable FDR/mdFDR control under certain dependence situations. We also present the Adaptive versions which are examined under simulation studies. The `Stages' refer to testing hypotheses both group-wise and individually, which is motivated by the belief that the dependencies among the p-values associated with the spatially oriented hypotheses occur more locally than globally. Thus, these `Staged' procedures test hypotheses in groups that incorporate the local, unknown dependencies of neighboring p-values. If a group is found significant, further investigation is done to the individual p-values within that group. For the vegetation monitoring data, we extend the investigation by providing some spatio-temporal models and forecasts to some regions where significant change was detected through the multiple testing procedure.
Temple University--Theses
Chandorkar, Chaitrali Santosh. "Data Driven Feed Forward Adaptive Testing." PDXScholar, 2013. https://pdxscholar.library.pdx.edu/open_access_etds/1049.
Повний текст джерела林旭明 and Yuk-ming Lam. "Automation in soil testing." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1990. http://hub.hku.hk/bib/B31209774.
Повний текст джерелаHu, Zongliang. "New developments in multiple testing and multivariate testing for high-dimensional data." HKBU Institutional Repository, 2018. https://repository.hkbu.edu.hk/etd_oa/534.
Повний текст джерелаКниги з теми "TESTING DATA"
Held, Gilbert. Data communications: Testing and troubleshooting. Indianapolis: Howard W. Sams, 1989.
Знайти повний текст джерелаLibrary of Congress. Congressional Research Service and United States. Federal Bureau of Investitgation, eds. DNA testing and data banking. Hauppauge, N.Y: Nova Science Publishers, 2011.
Знайти повний текст джерелаHeld, Gilbert. Data communications testing and troubleshooting. Indianapolis, Ind., USA: H.W. Sams, 1988.
Знайти повний текст джерелаHeld, Gilbert. Data communications testing and troubleshooting. 2nd ed. New York: Van Nostrand Reinhold, 1992.
Знайти повний текст джерелаSaeed, Athar. Accelerated pavement testing: Data guidelines. Washington, D.C: Transportation Research Board, National Research Council, 2003.
Знайти повний текст джерелаS, Page Gregory, Welge H. Robert, and Ames Research Center, eds. Propfan experimental data analysis. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1987.
Знайти повний текст джерелаFrieden, B. Roy. Probability, Statistical Optics, and Data Testing. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-97289-8.
Повний текст джерелаFrieden, B. Roy. Probability, Statistical Optics, and Data Testing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56699-8.
Повний текст джерелаDevelopment, North Atlantic Treaty Organization Advisory Group for Aerospace Research and. Advanced aeroservoelastic testing and data analysis. Neuilly-sur-Seine, France: AGARD, 1995.
Знайти повний текст джерелаAdvisory Group for Aerospace Research and Development. Structures and Materials Panel., ed. Advanced aeroservoelastic testing and data analysis. Neuilly sur Seine: Agard, 1995.
Знайти повний текст джерелаЧастини книг з теми "TESTING DATA"
Anderson, Alan J. B. "Testing hypotheses." In Interpreting Data, 65–84. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4899-3192-4_5.
Повний текст джерелаCurtis, Kevin, Lisa Dhar, Alan Hoskins, Mark Ayres, and Edeline Fotheringham. "Media Testing." In Holographic Data Storage, 151–83. Chichester, UK: John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470666531.ch8.
Повний текст джерелаHartigan, John A. "Testing for Antimodes." In Data Analysis, 169–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-58250-9_14.
Повний текст джерелаBrandt, Siegmund. "Testing Statistical Hypotheses." In Data Analysis, 175–207. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03762-2_8.
Повний текст джерелаBrandt, Siegmund. "Testing Statistical Hypotheses." In Data Analysis, 212–47. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-1446-5_8.
Повний текст джерелаSchrader, Steffen Haakon. "Flight Test Data Comparison." In Flight Testing, 159–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-63218-5_7.
Повний текст джерелаSrinivasan, John David. "Urine Testing." In Data Interpretation in Anesthesia, 175–79. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55862-2_32.
Повний текст джерелаde Armendi, Alberto J., and Gulshan Doulatram. "Drug Testing." In Data Interpretation in Anesthesia, 181–85. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55862-2_33.
Повний текст джерелаKline, Kevin, Denis McDowell, Dustin Dorsey, and Matt Gordon. "Data Validation Testing." In Pro Database Migration to Azure, 285–94. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8230-4_11.
Повний текст джерелаLebanon, Guy, and Mohamed El-Geish. "Essential Knowledge: Testing." In Computing with Data, 415–39. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98149-9_11.
Повний текст джерелаТези доповідей конференцій з теми "TESTING DATA"
Cho, Jae-Han, and Lee-Sub Lee. "Testing Algebra for Data-driven Testing." In AST 2014. Science & Engineering Research Support soCiety, 2014. http://dx.doi.org/10.14257/astl.2014.45.17.
Повний текст джерелаElGamal, Neveen, Ali ElBastawissy, and Galal Galal-Edeen. "Data warehouse testing." In the Joint EDBT/ICDT 2013 Workshops. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2457317.2457319.
Повний текст джерелаVivanti, Mattia. "Dynamic data-flow testing." In ICSE '14: 36th International Conference on Software Engineering. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2591062.2591079.
Повний текст джерелаDubey, Harsh Kumar, Prashant Kumar, Rahul Singh, Santosh K. Yadav, and Rama Shankar Yadav. "Automated data flow testing." In 2012 Students Conference on Engineering and Systems (SCES). IEEE, 2012. http://dx.doi.org/10.1109/sces.2012.6199072.
Повний текст джерелаHarrold, M., and M. Soffa. "Interprocedual data flow testing." In the ACM SIGSOFT '89 third symposium. New York, New York, USA: ACM Press, 1989. http://dx.doi.org/10.1145/75308.75327.
Повний текст джерелаBruno, John L., Phillip B. Gibbons, and Steven Phillips. "Testing concurrent data structures." In the fifteenth annual ACM symposium. New York, New York, USA: ACM Press, 1996. http://dx.doi.org/10.1145/248052.248074.
Повний текст джерелаPunn, Narinder Singh, Sonali Agarwal, M. Syafrullah, and Krisna Adiyarta. "Testing Big Data Application." In 2019 6th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI). IEEE, 2019. http://dx.doi.org/10.23919/eecsi48112.2019.8976972.
Повний текст джерелаMcDonald, Darren, and Kyle Gardner. "Static VMCA Demonstrations: Safety and Data Implications." In 28th Aerodynamic Measurement Technology, Ground Testing, and Flight Testing Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-2856.
Повний текст джерелаAi, Chiayu, and James C. Wyant. "Data Reduction for Phase Shift Interferometry." In Optical Fabrication and Testing. Washington, D.C.: Optica Publishing Group, 1986. http://dx.doi.org/10.1364/oft.1986.tha11.
Повний текст джерела"TESTING IN PARALLEL - A Need for Practical Regression Testing." In 5th International Conference on Software and Data Technologies. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0003041503440348.
Повний текст джерелаЗвіти організацій з теми "TESTING DATA"
McCrosson, F. J. ENDF/B Thermal Data Testing. Office of Scientific and Technical Information (OSTI), October 2001. http://dx.doi.org/10.2172/787923.
Повний текст джерелаRamsey, Lori J., and Karen L. Fertig. Officer Standardized Educational Testing Data. Fort Belvoir, VA: Defense Technical Information Center, November 1992. http://dx.doi.org/10.21236/ada259393.
Повний текст джерелаClarke, Jerry, Kenneth Renard, and Brian Panneton. Data Analytics and Visualization for Large Army Testing Data. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada591620.
Повний текст джерелаK. M. Garcia. Supercritical Water Oxidation Data Acquisition Testing. Office of Scientific and Technical Information (OSTI), August 1996. http://dx.doi.org/10.2172/768865.
Повний текст джерелаChandorkar, Chaitrali. Data Driven Feed Forward Adaptive Testing. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1049.
Повний текст джерелаWu, Jin Chu, and Raghu N. Kacker. Standard Errors and Significance Testing in Data Analysis for Testing Classifiers. National Institute of Standards and Technology, July 2021. http://dx.doi.org/10.6028/nist.ir.8383.
Повний текст джерелаCawley, John, Euna Han, Jiyoon (June) Kim, and Edward Norton. Testing for Peer Effects Using Genetic Data. Cambridge, MA: National Bureau of Economic Research, August 2017. http://dx.doi.org/10.3386/w23719.
Повний текст джерелаKahler, Albert Comstock. Data Testing CIELO Evaluations with ICSBEP Benchmarks. Office of Scientific and Technical Information (OSTI), March 2016. http://dx.doi.org/10.2172/1241649.
Повний текст джерелаKahler, Albert Comstock III. Criticality Data Testing with CIELO Candidate Evaluations. Office of Scientific and Technical Information (OSTI), March 2015. http://dx.doi.org/10.2172/1172830.
Повний текст джерелаP. Dixon. Seepage Calibration Model and Seepage Testing Data. Office of Scientific and Technical Information (OSTI), February 2004. http://dx.doi.org/10.2172/837560.
Повний текст джерела