Academic literature on the topic 'Model adequacy'
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Journal articles on the topic "Model adequacy"
Allen, D. E., M. McAleer, R. J. Powell, and A. K. Singh. "A capital adequacy buffer model." Applied Economics Letters 23, no. 3 (August 3, 2015): 175–79. http://dx.doi.org/10.1080/13504851.2015.1061639.
Full textFranses, Philip Hans, and Guido Biessen. "Model adequacy and influential observations." Economics Letters 38, no. 2 (February 1992): 133–37. http://dx.doi.org/10.1016/0165-1765(92)90043-x.
Full textKurdel, Pavol, František Adamčík, and Ján Labun. "Adequacy of Estimation Model of Asymptotic Learning Operator – Pilot Function." Naše more 62, SI (October 2015): 224–27. http://dx.doi.org/10.17818/nm/2015/si25.
Full textRefenes, A. P. N., and A. D. Zapranis. "Neural model identification, variable selection and model adequacy." Journal of Forecasting 18, no. 5 (September 1999): 299–332. http://dx.doi.org/10.1002/(sici)1099-131x(199909)18:5<299::aid-for725>3.0.co;2-t.
Full textKUSHMAN, JOHN E., and CHRISTINE K. RANNEY. "An Ordered-Response Income Adequacy Model." Journal of Consumer Affairs 24, no. 2 (December 1990): 338–65. http://dx.doi.org/10.1111/j.1745-6606.1990.tb00273.x.
Full textLeon, Larry F., and Chih-Ling Tsai. "Assessment of Model Adequacy for Markov Regression Time Series Models." Biometrics 54, no. 3 (September 1998): 1165. http://dx.doi.org/10.2307/2533866.
Full textSarumov, Alexey. "Adequacy of theoretical-multiple model of sports." Uchenye zapiski universiteta imeni P.F. Lesgafta, no. 93 (November 2012): 104–8. http://dx.doi.org/10.5930/issn.1994-4683.2012.11.93.p104-108.
Full textGibson, Edward, Brian MacWhinney, and Elizabeth Bates. "On the Adequacy of the Competition Model." Language 68, no. 4 (December 1992): 812. http://dx.doi.org/10.2307/416855.
Full textParker, Wendy S. "Model Evaluation: An Adequacy-for-Purpose View." Philosophy of Science 87, no. 3 (July 1, 2020): 457–77. http://dx.doi.org/10.1086/708691.
Full textGibson, Edward. "On the adequacy of the Competition Model." Language 68, no. 4 (1992): 812–30. http://dx.doi.org/10.1353/lan.1992.0024.
Full textDissertations / Theses on the topic "Model adequacy"
Magalla, Champa Hemanthi. "Model adequacy tests for exponential family regression models." Diss., Kansas State University, 2012. http://hdl.handle.net/2097/13640.
Full textDepartment of Statistics
James Neill
The problem of testing for lack of fit in exponential family regression models is considered. Such nonlinear models are the natural extension of Normal nonlinear regression models and generalized linear models. As is usually the case, inadequately specified models have an adverse impact on statistical inference and scientific discovery. Models of interest are curved exponential families determined by a sequence of predictor settings and mean regression function, considered as a sub-manifold of the full exponential family. Constructed general alternative models are based on clusterings in the mean parameter components and allow likelihood ratio testing for lack of fit associated with the mean, equivalently natural parameter, for a proposed null model. A maximin clustering methodology is defined in this context to determine suitable clusterings for assessing lack of fit. In addition, a geometrically motivated goodness of fit test statistic for exponential family regression based on the information metric is introduced. This statistic is applied to the cases of logistic regression and Poisson regression, and in both cases it can be seen to be equal to a form of the Pearson chi[superscript]2 statistic. This same statement is true for multinomial regression. In addition, the problem of testing for equal means in a heteroscedastic Normal model is discussed. In particular, a saturated 3 parameter exponential family model is developed which allows for equal means testing with unequal variances. A simulation study was carried out for the logistic and Poisson regression models to investigate comparative performance of the likelihood ratio test, the deviance test and the goodness of fit test based on the information metric. For logistic regression, the Hosmer-Lemeshow test was also included in the simulations. Notably, the likelihood ratio test had comparable power with that of the Hosmer-Lemeshow test under both m- and n-asymptotics, with superior power for constructed alternatives. A distance function defined between densities and based on the information metric is also given. For logistic models, as the natural parameters go to plus or minus infinity, the densities become more and more deterministic and limits of this distance function are shown to play an important role in the lack of fit analysis. A further simulation study investigated the power of a likelihood ratio test and a geometrically derived test based on the information metric for testing equal means in heteroscedastic Normal models.
MARINHO, Pedro Rafael Diniz. "Some new families of continuos distributions." Universidade Federal de Pernambuco, 2016. https://repositorio.ufpe.br/handle/123456789/18862.
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FACEPE
The area of survival analysis is important in Statistics and it is commonly applied in biological sciences, engineering, social sciences, among others. Typically, the time of life or failure can have different interpretations depending on the area of application. For example, the lifetime may mean the life itself of a person, the operating time of equipment until its failure, the time of survival of a patient with a severe disease from the diagnosis, the duration of a social event as a marriage, among other meanings. The time of life or survival time is a positive continuous random variable, which can have constant, monotonic increasing, monotonic decreasing or non-monotonic (for example, in the form of a U) hazard function. In the last decades, several families of probabilistic models have been proposed. These models can be constructed based on some transformation of a parent distribution, commonly already known in the literature. A given linear combination or mixture of G models usually defines a class of probabilistic models having G as a special case. This thesis is composed of independent chapters. The first and last chapters are short chapters that include the introduction and conclusions of the study developed. Two families of distributions, namely the exponentiated logarithmic generated (ELG) class and the geometric Nadarajah-Haghighi (NHG) class are studied. The last one is a composition of the Nadarajah-Haghighi and geometric distributions. Further, we develop a statistical library for the R programming language called the AdequacyModel. This is an improvement of the package that was available on CRAN (Comprehensive R Archive Network) and it is currently in version 2.0.0. The two main functions of the library are the goodness.fit and pso functions. The first function allows to obtain the maximum likelihood estimates (MLEs) of the model parameters and some goodness-of-fit of the fitted probabilistic models. It is possible to choose the method of optimization for maximizing the log-likelihood function. The second function presents the method meta-heuristics global search known as particle swarm optimization (PSO) proposed by Eberhart and Kennedy (1995). Such methodology can be used for obtaining the MLEs necessary for the calculation of some measures of adequacy of the probabilistic models.
A área de análise de sobrevivência é importante na Estatística e é comumente aplicada às ciências biológicas, engenharias, ciências sociais, entre outras. Tipicamente, o tempo de vida ou falha pode ter diferentes interpretações dependendo da área de aplicação. Por exemplo, o tempo de vida pode significar a própria vida de uma pessoa, o tempo de funcionamento de um equipamento até sua falha, o tempo de sobrevivência de um paciente com uma doença grave desde o diagnóstico, a duração de um evento social como um casamento, entre outros significados. O tempo de vida é uma variável aleatória não negativa, que pode ter a função de risco na forma constante, monótona crescente, monótona decrescente ou não monótona (por exemplo, em forma de U). Nas últimas décadas, várias famílias de modelos probabilísticos têm sido propostas. Esses modelos podem ser construídos com base em alguma transformação de uma distribuição padrão, geralmente já conhecida na literatura. Uma dada combinação linear ou mistura de modelos G normalmente define uma classe de modelos probabilísticos tendo G como caso especial. Esta tese é composta de capítulos independentes. O primeiro e último são curtos capítulos que incluem a introdução e as conclusões do estudo desenvolvido. Duas famílias de distribuições, denominadas de classe “exponentiated logarithmic generated” (ELG) e a classe “geometric Nadarajah-Haghighi” (NHG) s˜ao estudadas. A ´ultima ´e uma composi¸c˜ao das distribuições de Nadarajah-Haghighi e geométrica. Além disso, desenvolvemos uma biblioteca estatística para a linguagem de programação R chamada AdequacyModel. Esta é uma melhoria do pacote que foi disponibilizado no CRAN (Comprehensive R Archive Network) e está atualmente na versão 2.0.0. As duas principais funções da biblioteca são as funções goodness.fit e pso. A primeira função permite obter as estimativas de máxima verossimilhança (EMVs) dos parâmetros de um modelo e algumas medidas de bondade de ajuste dos modelos probabilísticos ajustados. E possível escolher o método de otimização para maximizar a função de log-verossimilhan¸ca. A segunda função apresenta o método meta-heurístico de busca global conhecido como Particle Swarm Optimization (PSO) proposto por Eberhart e Kennedy (1995). Algumas metodologias podem ser utilizadas para obtenção das EMVs necessárias para o cálculo de algumas medidas de adequação dos modelos probablísticos ajustados.
Fung, James Cheuk Lun. "An agent-based model of the interbank market : reserve and capital adequacy requirements." Thesis, University of Leeds, 2014. http://etheses.whiterose.ac.uk/8242/.
Full textHollmann, Axel [Verfasser], and Fevzi [Akademischer Betreuer] Belli. "Model-based mutation testing for test generation and adequacy analysis / Axel Hollmann. Betreuer: Fevzi Belli." Paderborn : Universitätsbibliothek, 2011. http://d-nb.info/1033764116/34.
Full textPoudyal, Niraj. "Confronting Theory with Data: the Case of DSGE Modeling." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/19197.
Full textPh. D.
Meid, Sandra A. [Verfasser]. "Split Analysis Methods and Parametric Bootstrapping in Molecular Phylogenetics : Taking a closer look at model adequacy / Sandra A. Meid." Bonn : Universitäts- und Landesbibliothek Bonn, 2015. http://d-nb.info/107728991X/34.
Full textMORAES, Alan Kelon Oliveira de. "On the influence of test adequacy criteria on test suite reduction for model-based testing of real-time systems." Universidade Federal de Campina Grande, 2017. http://dspace.sti.ufcg.edu.br:8080/jspui/handle/riufcg/558.
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O teste baseado em modelos é uma abordagem de teste de software que usa modelos abstratos de uma aplicação para gerar, executar e avaliar os testes. A geração de casos de testes exerce um papel importante no teste baseado em modelos. Como essa geração consiste na busca sistemática por casos de testes que possam ser extraídos dos modelos, o teste baseado em modelos geralmente produz suítes de testes que são caras demais para serem executadas completamente. Técnicas de redução de suítes de testes têm sido propostas para abordar este problema. O objetivo dessas técnicas é obter suítes de testes reduzidas que são mais baratas de serem executadas e tão efetivas na detecção de faltas quanto as suítes completas, dado que as suítes reduzidas mantém o mesmo nível de cobertura, definido por um critério de adequação de testes, da suíte completa. Esses critérios definem que partes do sistema serão testados, com que frequência e sob quais circunstâncias. Entretanto, pouca atenção tem sido dada ao impacto que a escolha do critério tem na redução de suítes de testes. Por outro lado, sistemas de tempo-real são sistemas reativos cujos comportamentos são restringidos pelo tempo. Consequentemente, faltas relacionadas ao tempo são específicas desses sistemas. Para lidar com isso, modelos para sistemas de tempo real devem trabalhar com tempo e, consequentemente, há critérios de adequação de testes específicos para eles. Contudo, a pesquisa sobre redução de suítes de testes não tem focado em sistemas de tempo-real, portanto o impacto de critérios de adequação de testes na redução de suítes é desconhecido. Nesta pesquisa de doutorado objetivamos investigar a influência de critérios de adequação de testes nos resultados da redução de suítes de testes no contexto de teste baseado em modelos de sistemas de tempo-real. Em particular, nós estamos interessados no modelo Timed Input-Output Symbolic Transition Systems (TIOSTS), porque ele é um modelo de sistema de transições no qual dados e tempo são definidos simbolicamente, já que sistemas de transição são a base para o teste de conformidade de sistemas de tempo real. Para alcançar o objetivo da pesquisa, primeiramente, nós definimos 19 critérios de adequação de testes para o modelo TIOSTS. Os critérios definidos incluem critérios baseados em transições, fluxo de dados e tempo. Depois nós formalizamos uma hierarquia com esses critérios, onde eles estão parcialmente ordenados pela relação de inclusão estrita. Segundamente, nós avaliamos empiricamente o custo-benefício de doze dos critérios definidos e cinco técnicas de redução de suítes de testes. Nós avaliamos o tamanho, o tempo de execução e a detecção de faltas das suítes de testes reduzidas de cada uma das 60 combinações de critério e técnica. No experimento, nós usamos modelos de especificação, em TIOSTS, de uma máquina de recarga de cartão do metrô, de um sistema de alarme anti-roubo e de um limitador automático de velocidade de carros. Além disso, usamos simulações das implementações, que geram rastros corretos para os modelos. Por fim, o teste de mutação foi usado para gerar mutantes dos modelos de especificação, que, por sua vez, foram traduzidos para simulações com a finalidade de simular modelos de implementações defeituosas. As evidências empíricas sugerem que os critérios de adequação de testes mais próximos do topo da hierarquia produziram suítes reduzidas com melhor custo-benefício com relação à detecção de faltas e tempo de execução. Com relação às técnicas de redução, a técnica aleatória obteve melhor custo-benefício dentre as técnicas avaliadas. Os resultados apontam que os critérios explicam mais a variação nos resultados do que as técnicas.
Model-based testing is a testing approach that relies on the existence of abstract models of an application to generate, execute and evaluate tests. Test case generation plays an important role in model-based testing. Since it consists of a systematic search for test cases that can be extracted from models, model-based testing usually generates large test suites which are too expensive to execute in full. Test suite reduction techniques have been proposed to address this problem. The goal of the techniques is to obtain reduced test suites that are both cheaper to execute and as effective at detecting faults as the original suite, given that the reduced test suites maintain the same coverage level of the complete test suite required by a test adequacy criterion. These criteria define which parts of the system are going to be tested, how often and under what circumstances. Nevertheless, little attention has been paid to the impact of the criterion choice in test suite reduction research. On the other hand, real-time systems are reactive systems whose behavior is constrained by time. Consequently, time-related faults are specific to these systems. In order to cope with this issue, models for real-time systems must deal with time and, consequently, there are specific test adequacy criteria for them. However, test suite reduction research has not focused on real-time systems, therefore the impact of test adequacy criteria for models of real-time systems on test suite reduction is unknown. In this doctoral research, we aim at investigating the influence of test adequacy criteria on the outcomes of test suite reduction techniques in the context of model-based testing of real-time systems. In particular, we are interested in the Timed Input-Output Symbolic Transition Systems (TIOSTS) model because it is an expressive transition system in which data and time are symbolically defined, and transition systems are the basis for conformance testing of real-time systems. In order to achieve the research objective, first, we defined 19 test adequacy criteria for TIOSTS models. The defined criteria include transition-based criteria, data-flow-oriented criteria and real-time systems criteria. Next, we formalized a hierarchy with these criteria which is partially ordered by the strict inclusion relation. Second, we evaluated the cost-effectiveness of twelve criteria and five test suite reduction techniques in empirical studies of test suite reduction. We evaluated the size, execution time and fault detection of reduced test suites obtained from each combination of criterion and technique. In the experiment, we used TIOSTS specification models of a refilling machine for charging the subway card, a burglar alarm system, and an automated car speed limiter; simulations of the implementations, which generate correct traces for the models; and mutation testing to generate mutants of the specification models, which were also translated to simulations in order to simulate faulty model implementations. Empirical evidence suggests that test adequacy criteria closer to the top of the family obtained reduced test suites with better costeffectiveness regarding fault detection and execution time. With respect to the test suite reduction techniques, the Random technique obtained better cost-effectiveness among the evaluated criteria. Results also suggests that the criteria explain more the variation in fault detection and execution time of reduced test suites than the techniques.
Чупрін, Денис Станіславович. "Моделювання нестаціонарних процесів ціноутворення." Master's thesis, КПІ ім. Ігоря Сікорського, 2019. https://ela.kpi.ua/handle/123456789/32012.
Full textTopicality. Modern methods of analysis of financial processes are largely based on the use of mathematical models that describe the dynamics of the process itself (pricing, profitability, investment processes, price indicators, etc.), trend, variance, periodic effects, abrupt changes and various nonlinear effects. Purpose. Building adequate models of non-stationary pricing processes to evaluate the short-term forecasts of the processes under study. Solution. The analysis of methods of mat modeling of non-stationary pricing processes is performed. Statistical tests are investigated to analyze data for trend and heteroskedasticity. Object of research. Non-stationary processes in pricing. Subject of research . Statistical criteria for analyzing the adequacy of models and the quality of forecast estimates. Research methods: regression analysis; statistical analysis of data by special tests. Scіentіfіc novelty: new mathematical models of vibration pricing processes; improvement of regression modeling methods of different processes; Short-term forecasts. The practical value of the results: The results obtained can be used to perform mathematical calculations by people unfamiliar with programming, including mathematical equations and so on.
Solat, Karo. "Generalized Principal Component Analysis." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/83469.
Full textPh. D.
Bauries, Scott Robert. "Judicial review and the separation of powers in state constitutional litigation challenging the adequacy of education spending complementary analyses and a proposed adjudicatory model /." [Gainesville, Fla.] : University of Florida, 2009. http://purl.fcla.edu/fcla/etd/UFE0024795.
Full textBooks on the topic "Model adequacy"
Zapranis, Achilleas, and Apostolos-Paul N. Refenes. Principles of Neural Model Identification, Selection and Adequacy. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0559-6.
Full textHonohan, Patrick. Capital adequacy and competition in a pure model of banking. Dublin: Department of PoliticalEconomy, UCD, 1987.
Find full textAlmimi, Ashraf. Split-Plot Designs: Follow-Up Experiments, Missing Observations, and Model Adequacy Checking. Saarbrucken, Germany: LAP LAMBERT Academic Publishing, 2010.
Find full textZapranis, Achilleas. Principles of Neural Model Identification, Selection and Adequacy: With Applications to Financial Econometrics. London: Springer London, 1999.
Find full textKeane, Mark T. Towards an adequate cognitive model of analogical mapping. Dublin: Trinity College, Department of Computer Science, 1991.
Find full textSimpson, Alex. Computational adequacy for recursive types in models of intuitionistic set theory. Kyoto, Japan: Kyōto Daigaku Sūri Kaiseki Kenkyūjo, 2003.
Find full textGrigor'ev, Anatoliy, and Evgeniy Isaev. Methods and algorithms of data processing. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1032305.
Full textDermine, Jean. Deposit insurance, credit risk and capital adequacy: A note. Fontainebleau: INSEAD, 1992.
Find full textMoore, James F. Projected retirement wealth and savings adequacy in the Health and Retirement Study. Cambridge, MA: National Bureau of Economic Research, 1997.
Find full textArmyros, Speros. On the behavior of Ethernet: Are existing analytic models adequate? Toronto: University of Toronto, Dept. of Computer Science, 1991.
Find full textBook chapters on the topic "Model adequacy"
Goldstein, Michael, Allan Seheult, and Ian Vernon. "Assessing Model Adequacy." In Environmental Modelling, 435–49. Chichester, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118351475.ch26.
Full textZapranis, Achilleas, and Apostolos-Paul N. Refenes. "Model Adequacy Testing." In Perspectives in Neural Computing, 113–18. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0559-6_6.
Full textMcCoach, D. Betsy, Sarah D. Newton, and Anthony J. Gambino. "Multilevel Model Selection: Balancing Model Fit and Adequacy." In Methodology for Multilevel Modeling in Educational Research, 29–48. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9142-3_3.
Full textKheifets, Igor, and Carlos Velasco. "Model Adequacy Checks for Discrete Choice Dynamic Models." In Recent Advances and Future Directions in Causality, Prediction, and Specification Analysis, 363–82. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1653-1_14.
Full textAtamturktur, Sez, Garrison N. Stevens, and D. Andrew Brown. "Empirically Improving Model Adequacy in Scientific Computing." In Model Validation and Uncertainty Quantification, Volume 3, 363–69. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54858-6_37.
Full textLütkepohl, Helmut. "VAR Order Selection and Checking the Model Adequacy." In Introduction to Multiple Time Series Analysis, 118–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-61695-2_4.
Full textLütkepohl, Helmut. "VAR Order Selection and Checking the Model Adequacy." In New Introduction to Multiple Time Series Analysis, 135–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-27752-1_4.
Full textLütkepohl, Helmut. "VAR Order Selection and Checking the Model Adequacy." In Introduction to Multiple Time Series Analysis, 118–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-662-02691-5_4.
Full textGhins, Michel. "Bas van Fraassen on Success and Adequacy in Representing and Modelling." In Model-Based Reasoning in Science and Technology, 21–42. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-38983-7_2.
Full textSevestre, Jacques, and Jacques Brygier. "Adequacy of the new generation of multithreading operating systems to the Ada Tasking Model." In Ada in Europe, 24–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-58822-1_85.
Full textConference papers on the topic "Model adequacy"
Alvarez-Alvarado, Manuel S., and Dilan Jayaweera. "Aging Reliability Model for Generation Adequacy." In 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). IEEE, 2018. http://dx.doi.org/10.1109/pmaps.2018.8440529.
Full textSitova, Irina, and Jelena Pecerska. "Process Mining Techniques in Simulation Model Adequacy Assessment." In 2019 60th International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS). IEEE, 2019. http://dx.doi.org/10.1109/itms47855.2019.8940672.
Full textTamulevicius, G., and J. Kaukenas. "Adequacy analysis of autoregressive model for Lithuanian semivowels." In 2016 IEEE 4th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE). IEEE, 2016. http://dx.doi.org/10.1109/aieee.2016.7821825.
Full textTatsuma, Momoko, Hiroshi Takamori, Kazuaki Iwamura, and Yosuke Nakanishi. "Transmission Adequacy for Renewable Energy: A Transmission Expansion Model." In 2020 9th International Conference on Renewable Energy Research and Application (ICRERA). IEEE, 2020. http://dx.doi.org/10.1109/icrera49962.2020.9242694.
Full textShah, Nikhil, Mike Warner, Tenice Nangoo, Adrian Umpleby, Ivan Stekl, Jo Morgan, and Lluís Guasch. "Quality assured full-waveform inversion: Ensuring starting model adequacy." In SEG Technical Program Expanded Abstracts 2012. Society of Exploration Geophysicists, 2012. http://dx.doi.org/10.1190/segam2012-1228.1.
Full textGottu Mukkula, Anwesh Reddy, and Sebastian Engell. "Guaranteed Model Adequacy for Modifier Adaptation With Quadratic Approximation." In 2020 European Control Conference (ECC). IEEE, 2020. http://dx.doi.org/10.23919/ecc51009.2020.9143625.
Full textGRANOVSKY, V. A., and T. N. SIRAYA. "MATHEMATICAL MODEL ADEQUACY IN METROLOGY: STEP-BY-STEP APPROACH." In Advanced Mathematical and Computational Tools in Metrology. WORLD SCIENTIFIC, 2001. http://dx.doi.org/10.1142/9789812811684_0021.
Full textChowdhury, A. A. "A Reliability Model to Local Area System Capacity Adequacy Assessment." In 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). IEEE, 2018. http://dx.doi.org/10.1109/pmaps.2018.8440503.
Full textChioua, Moncef, Bala Srinivasan, Martin Guay, and Michel Perrier. "Model adequacy for a precise optimization using extremum seeking control." In 2016 European Control Conference (ECC). IEEE, 2016. http://dx.doi.org/10.1109/ecc.2016.7810336.
Full textYatsalo, B., A. Korobov, and L. Martínez. "Presumption of model adequacy in fuzzy multi-criteria decision analysis." In 14th International FLINS Conference (FLINS 2020). WORLD SCIENTIFIC, 2020. http://dx.doi.org/10.1142/9789811223334_0091.
Full textReports on the topic "Model adequacy"
Stephen, Gord. Probabilistic Resource Adequacy Suite (PRAS) v0.6 Model Documentation. Office of Scientific and Technical Information (OSTI), May 2021. http://dx.doi.org/10.2172/1785462.
Full textSmith, Curtis, and Bob Youngblood. Assessing the Adequacy of Models for Risk-Informed Decisions (P-109). Office of Scientific and Technical Information (OSTI), March 2016. http://dx.doi.org/10.2172/1467586.
Full textMiller, Thomas E. Counterinsurgency and Operational Art: Is the Joint Campaign Planning Model Adequate? Fort Belvoir, VA: Defense Technical Information Center, January 2003. http://dx.doi.org/10.21236/ada416122.
Full textEccleston, C. H. A model for determining when an analysis contains sufficient detail to provide adequate NEPA coverage for a proposed action. Office of Scientific and Technical Information (OSTI), November 1994. http://dx.doi.org/10.2172/10120437.
Full textMcKinnon, 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 textCook, Joshua, Laura Ray, and James Lever. Dynamics modeling and robotic-assist, leader-follower control of tractor convoys. Engineer Research and Development Center (U.S.), February 2022. http://dx.doi.org/10.21079/11681/43202.
Full textBonthron, Leslie, Corey Beck, Alana Lund, Farida Mahmud, Xin Zhang, Rebeca Orellana Montano, Shirley J. Dyke, Julio Ramirez, Yenan Cao, and George Mavroeidis. Empowering the Indiana Bridge Inventory Database Toward Rapid Seismic Vulnerability Assessment. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317282.
Full textSoloviev, V. N., and Y. V. Romanenko. Quantum econophysics of bitcoin crises. ESC "IASA" NTUU "Igor Sikorsky Kyiv Polytechnic Institute", May 2018. http://dx.doi.org/10.31812/0564/2462.
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