Academic literature on the topic 'Common accuracy of the model'
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Journal articles on the topic "Common accuracy of the model"
Hung, Lai-Fa. "A Negative Binomial Regression Model for Accuracy Tests." Applied Psychological Measurement 36, no. 2 (January 24, 2012): 88–103. http://dx.doi.org/10.1177/0146621611429548.
Full textSemenov, Serhii, Liqiang Zhang, Weiling Cao, Serhii Bulba, Vira Babenko, and Viacheslav Davydov. "Development of a fuzzy GERT-model for investigating common software vulnerabilities." Eastern-European Journal of Enterprise Technologies 6, no. 2 (114) (December 29, 2021): 6–18. http://dx.doi.org/10.15587/1729-4061.2021.243715.
Full textGray, Samuel H. "Gaussian beam migration of common-shot records." GEOPHYSICS 70, no. 4 (July 2005): S71—S77. http://dx.doi.org/10.1190/1.1988186.
Full textWang, Jian Hua, Zhao Yang, and Yu Ping Wu. "Calibration Accuracy and Reconstruction Accuracy of Stereovision System." Applied Mechanics and Materials 321-324 (June 2013): 1499–503. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.1499.
Full textLAYTON, WILLIAM, and ROGER LEWANDOWSKI. "A HIGH ACCURACY LERAY-DECONVOLUTION MODEL OF TURBULENCE AND ITS LIMITING BEHAVIOR." Analysis and Applications 06, no. 01 (January 2008): 23–49. http://dx.doi.org/10.1142/s0219530508001043.
Full textTucki, Karol, Anna Bączyk, Bartłomiej Rek, and Izabela Wielewska. "The CFD Analysis of the Combustion Chamber in Common Rail Engines." MATEC Web of Conferences 252 (2019): 04001. http://dx.doi.org/10.1051/matecconf/201925204001.
Full textFu, Xiao Lei, Bao Ming Jin, Xiao Lei Jiang, and Cheng Chen. "One-dimensional soil temperature assimilation experiment based on unscented particle filter and Common Land Model." E3S Web of Conferences 38 (2018): 03009. http://dx.doi.org/10.1051/e3sconf/20183803009.
Full textMcMeekin, Kevin, Frédéric Sirois, Maxime Tousignant, and Philippe Bocher. "Improving the accuracy of time-harmonic FE simulations in induction heating applications." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 36, no. 2 (March 6, 2017): 526–34. http://dx.doi.org/10.1108/compel-05-2016-0203.
Full textSvozil, Daniel, and Pavel Jungwirth. "Cluster Model for the Ionic Product of Water: Accuracy and Limitations of Common Density Functional Methods." Journal of Physical Chemistry A 110, no. 29 (July 2006): 9194–99. http://dx.doi.org/10.1021/jp0614648.
Full textZhang, Bing, Shanqi Chen, Zhixian Lin, Shaoxuan Wang, Zhen Wang, Daochuan Ge, Dingqing Guo, Jian Lin, Fang Wang, and Jin Wang. "A rapid modeling method and accuracy criteria for common-cause failures in Risk Monitor PSA model." Nuclear Engineering and Technology 53, no. 1 (January 2021): 103–10. http://dx.doi.org/10.1016/j.net.2020.06.021.
Full textDissertations / Theses on the topic "Common accuracy of the model"
Бакун, Сабіна Антонівна. "Система оцінки кредитоспроможності фізичних осіб з використанням методів регресійного аналізу." Master's thesis, Київ, 2018. https://ela.kpi.ua/handle/123456789/23984.
Full textTheme: “System for evaluating the solvency of individuals using regression analysis methods”. Master's thesis explanatory note: 107 p., 32 fig., 32 tab., 5 appendices, 19 sources. Actuality: the consumer lending market is growing rapidly in Ukraine. However, along with this, the number of unreturned loans is increasing, which causes quite large losses to banking institutions. Thus, the development and application of systems for assessing the creditworthiness of individuals in the process of making a decision on the issuance of a loan are actual for today. The purpose of this work is to study and improve existing methods of constructing scoring models and to develop a decision support system for assessing the creditworthiness of individuals using the method of logistic regression. The object of the study is a set of statistical data on consumer loans provided by the bank to individuals. Methods of research: logistic regression method, maximum likelihood method, gradient descent method, operations on matrices. The software product was implemented using the C# programming language in the Microsoft Visual Studio 2012 development environment. For a comparative analysis of the results were built models as decision trees and scorecard in the SAS Enterprise Miner system. Obtained results: a decision support system was developed for predicting the creditworthiness of individuals using the logistic regression method and the maximum likelihood method. The method of using categorical data in regression models is proposed.
Dusitsin, Krid, and Kurt Kosbar. "Accuracy of Computer Simulations that use Common Pseudo-random Number Generators." International Foundation for Telemetering, 1998. http://hdl.handle.net/10150/609238.
Full textIn computer simulations of communication systems, linear congruential generators and shift registers are typically used to model noise and data sources. These generators are often assumed to be close to ideal (i.e. delta correlated), and an insignificant source of error in the simulation results. The samples generated by these algorithms have non-ideal autocorrelation functions, which may cause a non-uniform distribution in the data or noise signals. This error may cause the simulation bit-error-rate (BER) to be artificially high or low. In this paper, the problem is described through the use of confidence intervals. Tests are performed on several pseudo-random generators to access which ones are acceptable for computer simulation.
Berger, Julia Lizabeth. "Cybervetting: A Common Antecedents Model." Bowling Green State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1431690206.
Full textFann, Chee Meng. "Development of an artillery accuracy model." Thesis, Monterey, Calif. : Naval Postgraduate School, 2006. http://bosun.nps.edu/uhtbin/hyperion.exe/06Dec%5FFann.pdf.
Full textThesis Advisor(s): Morris Driels. "December 2006." Includes bibliographical references (p. 91). Also available in print.
Mersch, Leslie N. "Accuracy Analysis of Common Adult Aging Methods Applied to Near Adult Human Skeletons." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439305302.
Full textBlackstock, Michael Anthony. "A common model for ubiquitous computing." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2478.
Full textGunner, J. C. "A model of building price forecasting accuracy." Thesis, University of Salford, 1997. http://usir.salford.ac.uk/26702/.
Full textKim, Ja Young. "Factors affecting accuracy of comparable scores for augmented tests under Common Core State Standards." Diss., University of Iowa, 2013. https://ir.uiowa.edu/etd/2543.
Full textLinder, Martin. "Common Ancestors in a Generalized Moran model." Licentiate thesis, Uppsala University, Department of Mathematics, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-122402.
Full textXu, Wenwei. "Enhancing model accuracy for control : two case studies /." free to MU campus, to others for purchase, 2002. http://wwwlib.umi.com/cr/mo/fullcit?p3074458.
Full textBooks on the topic "Common accuracy of the model"
Fildes, Robert. Accuracy gains through individual univariate forecasting: Model selection. Manchester: Manchester Business School, 1986.
Find full textMiller, Nicholas P., Sean M. Doyle, Bradley L. Nicholas, Monty Gettys, Joe Gettys, and Greg Price. Integrated Noise Model Accuracy for General Aviation Aircraft. Washington, D.C.: Transportation Research Board, 2014. http://dx.doi.org/10.17226/22269.
Full textUslar, Mathias, Michael Specht, Sebastian Rohjans, Jörn Trefke, and Jose Manuel Vasquez Gonzalez. The Common Information Model CIM. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25215-0.
Full textHone, David M. Time and space resolution and mixed layer model accuracy. Monterey, Calif: Naval Postgraduate School, 1997.
Find full textOgawa, Hiroyuki. Testing the accuracy of a three-dimensional acoustic coupled mode model. Monterey, Calif: Naval Postgraduate School, 1991.
Find full textPeter, Huxley, ed. Common mental disorders: A bio-social model. London: Tavistock/Routledge, 1992.
Find full textCameron, Mark. The common factors model for generalist practice. Boston: Pearson Education, 2013.
Find full textMorelli, Eugene A. Determining the accuracy of aerodynamic model parameters estimated from flight test data. Washington, D.C: American Institute of Aeronautics and Astronautics, 1995.
Find full textMorelli, Eugene A. Determining the accuracy of aerodynamic model parameters estimated from flight test data. Washington, D.C: American Institute of Aeronautics and Astronautics, 1995.
Find full textMorelli, Eugene A. Determining the accuracy of aerodynamic model parameters estimated from flight test data. Washington, D.C: American Institute of Aeronautics and Astronautics, 1995.
Find full textBook chapters on the topic "Common accuracy of the model"
Rui, Zhiqing, Jingzheng Wu, Yanjie Shao, Tianyue Luo, Mutian Yang, Yanjun Wu, and Bin Wu. "PassEye: Sniffing Your Password from HTTP Sessions by Deep Neural Network." In Communications in Computer and Information Science, 3–15. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4922-3_1.
Full textBurkholder, Earl F. "Spatial Data Accuracy." In The 3-D Global Spatial Data Model, 305–28. Second edition. | Boca Raton : CRC Press, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781315120102-12.
Full textMasuda-Suzukake, Masami, Aki Shimozawa, Masashi Hashimoto, and Masato Hasegawa. "Common Marmoset Model of." In Methods in Molecular Biology, 131–39. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1495-2_13.
Full textPrado, Hércules A., Karla F. Machado, Sandra R. Frigeri, and Paulo M. Engel. "Accuracy Tuning on Combinatorial Neural Model." In Methodologies for Knowledge Discovery and Data Mining, 247–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48912-6_33.
Full textStrug, Joanna. "Mutation Testing in Model Accuracy Assessment." In Advances in Intelligent Systems and Computing, 201–11. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46586-9_16.
Full textBurkholder, Earl F. "Computing Network Accuracy and Local Accuracy Using the Global Spatial Data Model." In The 3-D Global Spatial Data Model, 365–77. Second edition. | Boca Raton : CRC Press, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781315120102-14.
Full textMatsuhisa, Takashi. "Common-Knowledge and KP-Model." In Intelligent Information and Database Systems, 490–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49381-6_47.
Full textEdgerton, David. "Extensions to the Common Model." In The Econometrics of Demand Systems, 141–93. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1277-2_6.
Full textUslar, Mathias, Michael Specht, Sebastian Rohjans, Jörn Trefke, and José Manuel Vasquez González. "The IEC Common Information Model." In The Common Information Model CIM, 75–106. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25215-0_3.
Full textDraper, N. R., and I. Guttman. "A Common Model Selection Criterion." In Probability and Bayesian Statistics, 139–50. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1885-9_14.
Full textConference papers on the topic "Common accuracy of the model"
Yonggen Liu, Chenchang Zhan, Tak Sang Yim, and Wing-Hung Ki. "Continuous-time common-mode feedback detection circuits with enhanced detection accuracy." In 2012 IEEE International Conference of Electron Devices and Solid-State Circuits (EDSSC). IEEE, 2012. http://dx.doi.org/10.1109/edssc.2012.6482773.
Full textPuscasu, Razvan, Pavel Brinzoi, Laurentiu Creosteanu, and Gheorghe Brezeanu. "High accuracy current sense amplifier with extended input common mode range." In 2014 10th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME). IEEE, 2014. http://dx.doi.org/10.1109/prime.2014.6872670.
Full textFlorez, Alexander Ylnner Choquenaira, Braulio Valentin Sanchez Vinces, Diana Carolina Roca Arroyo, Josimar Edinson Chire Saire, and Patricia Batista Franco. "Experimental Evaluation of Accuracy of Most Common Machine Learning Models using Pulsar Data Set." In 2020 International Conference of Digital Transformation and Innovation Technology (Incodtrin). IEEE, 2020. http://dx.doi.org/10.1109/incodtrin51881.2020.00027.
Full textRadcliffe, Clark. "An Analytical Mechatronic Model for Series DC Motors Using Manufacturer Test Data." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2549.
Full textToyota, Yoshitaka, Youhei Sakai, Makoto Torigoe, Ryuji Koga, Tetsushi Watanabe, and Osami Wada. "Fast and Accurate Estimation of Radiated Emission from Printed Circuit Board Using Common-mode Antenna Model Based on Common-Mode Potential Distribution." In 2007 IEEE International Symposium on Electromagnetic Compatibility. IEEE, 2007. http://dx.doi.org/10.1109/isemc.2007.138.
Full textOuyang, Linshu, Yongzheng Zhang, Hui Liu, Yige Chen, and Yipeng Wang. "Gated POS-Level Language Model for Authorship Verification." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/557.
Full textPonti, Fabrizio, Vittorio Ravaglioli, and Matteo De Cesare. "Development of a Common Rail Diesel Engine Combustion Model for ROHR Real-Time Estimation." In ASME 2011 Internal Combustion Engine Division Fall Technical Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/icef2011-60153.
Full textLygidakis, Georgios N., and Ioannis K. Nikolos. "Assessment of the Academic CFD Code “Galatea” Using the NASA Common Research Model (CRM)." In ASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/esda2014-20265.
Full textRoy, Ranjan Kumar, Koyel Ghosh, and Apurbalal Senapati. "Stock Price Prediction: LSTM Based Model." In Intelligent Computing and Technologies Conference. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.115.19.
Full textCloutier, Aimee, and James Yang. "Force Optimization Approaches for Common Anthropomorphic Grasps." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60346.
Full textReports on the topic "Common accuracy of the model"
McKinnon, Mark, and Daniel Madryzkowski. Literature Review to Support the Development of a Database of Contemporary Material Properties for Fire Investigation Analysis. UL Firefighter Safety Research Institute, June 2020. http://dx.doi.org/10.54206/102376/wmah2173.
Full textDeluca, Cecelia, and Melinda Peng. ESPC Common Model Architecture. Fort Belvoir, VA: Defense Technical Information Center, September 2014. http://dx.doi.org/10.21236/ada616401.
Full textRibeiro, João A., Paulo J. Pereira, and Elísio M. Brandão. A real options model to determine the optimal contractual penalty for a BOT project. CICEE. Universidade Autónoma de Lisboa, 2021. http://dx.doi.org/10.26619/ual-cicee/wp06.2021.
Full textHembree, Charles E., Alan Mar, and Perry J. Robertson. High Accuracy Transistor Compact Model Calibrations. Office of Scientific and Technical Information (OSTI), September 2015. http://dx.doi.org/10.2172/1222177.
Full textBass, J. N., N. Grossbard, and E. C. Robinson. Statistical Parameters for Describing Model Accuracy. Fort Belvoir, VA: Defense Technical Information Center, March 1989. http://dx.doi.org/10.21236/ada209933.
Full textLambert, M. A Model for Common Operational Statistics. RFC Editor, October 1995. http://dx.doi.org/10.17487/rfc1857.
Full textStockman, B. A Model for Common Operational Statistics. RFC Editor, January 1993. http://dx.doi.org/10.17487/rfc1404.
Full textRamirez, A., and S. Myers. Accuracy tests of the tessellated SLBM model. Office of Scientific and Technical Information (OSTI), July 2007. http://dx.doi.org/10.2172/921153.
Full textSauter, Barbara. Forecast Model Uncertainty; MM5 Accuracy Over Utah. Fort Belvoir, VA: Defense Technical Information Center, March 2004. http://dx.doi.org/10.21236/ada422720.
Full textSeginer, Ido, Louis D. Albright, and Robert W. Langhans. On-line Fault Detection and Diagnosis for Greenhouse Environmental Control. United States Department of Agriculture, February 2001. http://dx.doi.org/10.32747/2001.7575271.bard.
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