Academic literature on the topic 'Dynamic modelling'

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Journal articles on the topic "Dynamic modelling"

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Wehrli, P., and J. Tödtli. "Dynamic behaviour modelling." Batiment International, Building Research and Practice 14, no. 1 (1986): 51–54. http://dx.doi.org/10.1080/01823328608726717.

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Friston, K. J., L. Harrison, and W. Penny. "Dynamic causal modelling." NeuroImage 19, no. 4 (2003): 1273–302. http://dx.doi.org/10.1016/s1053-8119(03)00202-7.

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Zirka, S. E., Y. I. Moroz, P. Marketos, and A. J. Moses. "Dynamic hysteresis modelling." Physica B: Condensed Matter 343, no. 1-4 (2004): 90–95. http://dx.doi.org/10.1016/j.physb.2003.08.036.

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Lütkepohl, Helmut. "Nonparametric dynamic modelling." Journal of Econometrics 81, no. 1 (1997): 1–5. http://dx.doi.org/10.1016/s0304-4076(97)00029-8.

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Mynett, A. "Modelling dynamic behaviour." Trends in Biochemical Sciences 13, no. 5 (1988): 189–90. http://dx.doi.org/10.1016/0968-0004(88)90150-8.

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Saha, S. K., S. V. Shah, and P. V. Nandihal. "Evolution of the DeNOC-based dynamic modelling for multibody systems." Mechanical Sciences 4, no. 1 (2013): 1–20. http://dx.doi.org/10.5194/ms-4-1-2013.

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Abstract. Dynamic modelling of a multibody system plays very essential role in its analyses. As a result, several methods for dynamic modelling have evolved over the years that allow one to analyse multibody systems in a very efficient manner. One such method of dynamic modelling is based on the concept of the Decoupled Natural Orthogonal Complement (DeNOC) matrices. The DeNOC-based methodology for dynamics modelling, since its introduction in 1995, has been applied to a variety of multibody systems such as serial, parallel, general closed-loop, flexible, legged, cam-follower, and space robots
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Gerya, Taras V., David Fossati, Curdin Cantieni, and Diane Seward. "Dynamic effects of aseismic ridge subduction: numerical modelling." European Journal of Mineralogy 21, no. 3 (2009): 649–61. http://dx.doi.org/10.1127/0935-1221/2009/0021-1931.

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Zeinali, Meysar, and Leila Notash. "FUZZY LOGIC-BASED INVERSE DYNAMIC MODELLING OF ROBOT MANIPULATORS." Transactions of the Canadian Society for Mechanical Engineering 34, no. 1 (2010): 137–50. http://dx.doi.org/10.1139/tcsme-2010-0009.

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This paper presents the design and implementation of a systematic fuzzy modelling methodology for the inverse dynamic modelling of robot manipulators. The fuzzy logic modelling methodology is motivated in part by the difficulties encountered in the modelling of complex nonlinear uncertain systems, and by the objective of developing an efficient dynamic model for the real-time model-based control. The methodology is applied to build the fuzzy logic-based inverse dynamic model of a prototyped wire-actuated parallel manipulator with uncertain dynamics. The developed inverse dynamics has been used
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Verlan, A. A., and Jo Sterten. "Intelligent Object-Oriented Approach to Dynamic Energy Systems’ Modelling." Mathematical and computer modelling. Series: Technical sciences, no. 21 (November 2, 2020): 43–51. http://dx.doi.org/10.32626/2308-5916.2020-21.43-51.

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Šleger, V. "Potential use of program Dynamic Designer in spring modelling." Research in Agricultural Engineering 50, No. 1 (2012): 1–5. http://dx.doi.org/10.17221/4918-rae.

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Program Dynamic Designer serves for kinematic and dynamical analysis of rigid body system. Models of springs and relations between force and spring deformation can be chosen and inserted into the system. In the article there is presented <br />a model of flexibly fastened body. Result of dynamical analysis is dependence of selected point deflection on time (Figs. 5, 7, 8, 10). The results can be put to use in the design of spring-loaded parts of agricultural machines.
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Dissertations / Theses on the topic "Dynamic modelling"

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Filion, Yves R. "Extended dynamic network modelling." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ58667.pdf.

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Blanco, Blas. "Railway track dynamic modelling." Licentiate thesis, KTH, Farkost och flyg, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-207180.

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The railway vehicles are an increasing mean of transportation due to, its reduced impact on environment and high level of comfort provided. These reasons have contributed to settle a positive perception of railway traffic into the European society. In this upward context, the railway industrial sector tackles some important challenges; maintaining low operational costs and controlling the nuisance by-products of trains operation, the most important being railway noise. Track dynamic plays a main role for both issues, since a significant part of the operational costs are associated with the tra
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Chen, C. C. "Imaging the spatial-temporal neuronal dynamics using dynamic causal modelling." Thesis, University College London (University of London), 2009. http://discovery.ucl.ac.uk/18517/.

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Oscillatory brain activity is a ubiquitous feature of neuronal dynamics and the synchronous discharge of neurons is believed to facilitate integration both within functionally segregated brain areas and between areas engaged by the same task. There is growing interest in investigating the neural oscillatory networks in vivo. The aims of this thesis are to (1) develop an advanced method, Dynamic Causal Modelling for Induced Responses (DCM for IR), for modelling the brain network functions and (2) apply it to exploit the nonlinear coupling in the motor system during hand grips and the functional
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Göl, Özdemir. "Dynamic modelling of induction machines /." Title page, contents and abstract only, 1993. http://web4.library.adelaide.edu.au/theses/09PH/09phg595.pdf.

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Clements, Michael P. "Cointegration and dynamic econometric modelling." Thesis, University of Oxford, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.334980.

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Qin, Yong. "Dynamic modelling of combustion processes." Thesis, Cardiff University, 2007. http://orca.cf.ac.uk/55453/.

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Neural aided combustion oscillator models (NACO) have been developed for time domain prediction of low frequency oscillations. The NACO method consists of two stages, one is the design of a core-stimulation (CS) model based on the co.
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Somarathne, Shini. "Dynamic thermal modelling using CFD." Thesis, Brunel University, 2003. http://bura.brunel.ac.uk/handle/2438/5523.

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Buildings expend vast quantities of energy, which has a detrimental impact on the environment. Buildings systems are often oversized to cope with possible extreme environmental conditions. Building simulation provides an opportunity to improve building thermal design, but the available tools are typically used in combination in order to overcome their individual deficiencies. Two such tools, often used in tandem are computational fluid dynamics (CFD) and dynamic thermal modelling (DTM). DTM provides a coarse analysis, by considering external and internal thermal conditions over a building (inc
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Hinchliffe, Mark. "Dynamic modelling using genetic programming." Thesis, University of Newcastle Upon Tyne, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.391407.

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Crump, Timothy. "Modelling dynamic cracking of graphite." Thesis, University of Manchester, 2018. https://www.research.manchester.ac.uk/portal/en/theses/modelling-dynamic-cracking-of-graphite(71e81d6f-e712-458c-aa48-0a256749258a).html.

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Advances in dynamic fracture modelling have become more frequent due to increases in computer speed, meaning that its application to industrial problems has become viable. From this, the author has reviewed current literature in terms of graphite material properties, structural dynamics, fracture mechanics and modelling methodologies to be able to address operational issues related to the ageing of Advanced Gas-cooled Reactor (AGR) cores. In particular, the experimentally observed Prompt Secondary Cracking (PSC) of graphite moderator bricks which has yet to be observed within operational react
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Alfaer, Nada Mansour. "Dynamic modelling for image analysis." Thesis, University of Leeds, 2018. http://etheses.whiterose.ac.uk/21215/.

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Image segmentation is an important task in many image analysis applications, where it is an essential first stage before further analysis is possible. The levelset method is an implicit approach to image segmentation problems. The main advantages are that it can handle an unknown number of regions and can deal with complicated topological changes in a simple and natural way. The research presented in this thesis is motivated by the need to develop statistical methodologies for modelling image data through level sets. The fundamental idea is to combine the level-set method with statistical mode
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Books on the topic "Dynamic modelling"

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Jeffrey, Wix, and Building Services Research and Information Association. Computer Centre., eds. Dynamic thermal modelling. Ambient Press, 1987.

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Filion, Yves R. Extended dynamic network modelling. National Library of Canada, 2001.

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Dykes, Alan P., Mark Mulligan, and John Wainwright, eds. Monitoring and Modelling Dynamic Environments. John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118649596.

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Kulikov, Gennady G., and Haydn A. Thompson, eds. Dynamic Modelling of Gas Turbines. Springer London, 2004. http://dx.doi.org/10.1007/978-1-4471-3796-2.

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1951-, Sol H. G., Hee, Kees Max van, 1946-, and International Working Conference on Dynamic Modelling of Information Systems (1990 : Noordwijkerhout, Netherlands), eds. Dynamic modelling of information systems. North-Holland, 1991.

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John, Wainwright, Alan P. Dykes, and Mark Mulligan. Monitoring and modelling dynamic environments. John Wiley & Sons, Ltd, 2016.

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Evertsz, Rick, John Thangarajah, and Thanh Ly. Practical Modelling of Dynamic Decision Making. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-95195-9.

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Jokar Arsanjani, Jamal. Dynamic land use/cover change modelling. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-23705-8.

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Crespo Márquez, Adolfo. Dynamic Modelling for Supply Chain Management. Springer London, 2010. http://dx.doi.org/10.1007/978-1-84882-681-6.

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Armstrong, P. K. Dynamic modelling and simulation with Numerator. Department of Mathematical Sciences, Loughborough University of Technology, 1991.

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Book chapters on the topic "Dynamic modelling"

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Nicola, PierCarlo. "Dynamic Modelling." In Mainstream Mathematical Economics in the 20th Century. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04238-0_7.

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Yu, Kam. "Dynamic Modelling." In Springer Texts in Business and Economics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27289-0_9.

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Bissell, C. C. "Modelling dynamic systems." In Control Engineering. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-7224-8_3.

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Bissell, C. C. "Modelling Dynamic Systems." In Control Engineering. Springer US, 1988. http://dx.doi.org/10.1007/978-1-4615-9711-7_3.

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Signoret, Jean-Pierre, and Alain Leroy. "Dynamic Modelling Exercises." In Springer Series in Reliability Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64708-7_34.

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George, Donald A. R. "Dynamic optimisation." In Mathematical Modelling for Economists. Palgrave Macmillan UK, 1988. http://dx.doi.org/10.1007/978-1-349-19238-0_7.

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Pennanen, Teemu, and Ari-Pekka Perkkiö. "Dynamic Programming." In Probability Theory and Stochastic Modelling. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-76432-5_2.

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Olafsson, S. "Dynamic Task Allocation." In Modelling Future Telecommunications Systems. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4615-2049-8_16.

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Kõvamees, Erik. "Semiosis and Modelling." In Explorations in Dynamic Semiosis. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-47001-1_3.

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Garrido, José Luis, and Miguel Gea. "Modelling Dynamic Group Behaviours." In Interactive Systems: Design, Specification, and Verification. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45522-1_8.

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Conference papers on the topic "Dynamic modelling"

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Frye, J. P., and B. C. Fabien. "Modeling and Simulation of Nonholonomic Lagrangian Dynamic Systems." In Modelling and Simulation. ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.696-057.

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Bae, T. S., J. K. Kim, S. K. Kim, J. C. Ryu, and and M. S. Mun. "Dynamic Simulation of Lumbar Lordortic Model during Isokinetic Exercise." In Modelling and Simulation. ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.696-123.

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Martínez-Vargas, A., and Á. G. Andrade. "On Evaluation of Dynamic Spectrum Access in Heterogeneous Networks." In Modelling and Simulation. ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.698-020.

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Cicirelli, Franco, Angelo Furfaro, Libero Nigro, and Francesco Pupo. "Dynamic Sociality Minority Game." In 25th Conference on Modelling and Simulation. ECMS, 2011. http://dx.doi.org/10.7148/2011-0027-0033.

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Nguyen, Thang, Christopher Edwards, Guido Herrmann, Toshiaka Hatano, Stuart C. Burgess, and Mervyn Miles. "Cantilever dynamics modelling for the Transverse Dynamic Force Microscope." In 2014 IEEE 53rd Annual Conference on Decision and Control (CDC). IEEE, 2014. http://dx.doi.org/10.1109/cdc.2014.7039564.

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Nagori, M. B., W. Gore Ranjana, and Madhuri Joshi. "Dynamic causal modelling for schizophrenia." In 2011 International Symposium on Humanities, Science and Engineering Research (SHUSER). IEEE, 2011. http://dx.doi.org/10.1109/shuser.2011.6008504.

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Druet, Krzysztof. "Approaches to Dynamic Tribosystem Modelling." In World Tribology Congress III. ASMEDC, 2005. http://dx.doi.org/10.1115/wtc2005-63771.

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Predictive models for friction and wear are among the most important issues setting guidelines for tribological research [5]. The analysis of published models of tribological phenomena reveals, that the achievement of satisfactory predictive accuracy of the proposed models is still problematic [10, 12]. Practically speaking the mathematical models mentioned have a limited usability for the purpose of designing new machines. Two groups of models used in tribology can be distinguished: design practice oriented and fundamental [10]. The model belonging to the first group is built so it calculates
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Kotian, Shashidhara Mecha, and K. N. Shubhanga. "Dynamic phasor modelling and simulation." In 2015 Annual IEEE India Conference (INDICON). IEEE, 2015. http://dx.doi.org/10.1109/indicon.2015.7443446.

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"MODELLING KNOWLEDGE FOR DYNAMIC SERVICE DEPLOYMENT - Autonomic Networks Modelling." In 3rd International Conference on Software and Data Technologies. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001885601540159.

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Hauge, Espen, John-Morten Godhavn, Øyvind N. Stamnes, and Ole Morten Aamo. "Dynamic Modelling of Gas Rising in a Wellbore." In Modelling, Identification and Control. ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.769-045.

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Reports on the topic "Dynamic modelling"

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Tatlicioglu, E., Ian D. Walker, and Darren M. Dawson. Dynamic Modelling for Planar Extensible Continuum Robot Manipulators. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada462495.

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Athow, Jonathan. Incorporating behavioural change and dynamic considerations in tax policy modelling. The IFS, 2012. http://dx.doi.org/10.1920/ps.ifs.2024.0869.

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Chand, K., W. Henshaw, and T. Vassilevska. Reduced order modelling for dynamic simulations: LDRD feasibility study final report. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1059464.

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Hall, Stephen. Time-Series Methods: Dynamic Modeling, Non-Stationarity, and Cointegration. Instats Inc., 2023. http://dx.doi.org/10.61700/vksf9usteps6f469.

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This seminar provides a hands-on exploration of time-series methods useful for econometrics as well as social and health science research. Any modelling exercise involving time series data depends crucially on the correct treatment of any non-stationarity which may be present in the data. The seminar explores the developments in dynamic modelling and non-stationarity which have taken place over the last 50 years in Econometrics, including in-depth coverage types of non-stationarity and tests for them, including cointegrated relationships (shared trends) among multiple variables. A free version
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Leão, Emanuel, and Pedro Leão. Modelling The Central Bank Repo Rate In a Dynamic General Equilibrium Framework. DINÂMIA'CET-IUL, 2005. http://dx.doi.org/10.7749/dinamiacet-iul.wp.2005.42.

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Ho, Yu-Chi, and Wei-Bo Gong. Discrete Event Dynamic Systems Modelling and Optimization with Applications to C3I Problems. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada300786.

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Bello, Paul, and Mitch Mailman. Applications of Dynamic Systems Theory to Effects-Based Operations and Adversarial Modelling. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada465801.

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Hall, Stephen. Time-Series Methods: Dynamic Modeling, Non-Stationarity, and Cointegration. Instats Inc., 2022. http://dx.doi.org/10.61700/nyrm5o8t47qqa469.

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This seminar provides a hands-on exploration of time-series methods useful for econometrics as well as social and health science research. Any modelling exercise involving time series data depends crucially on the correct treatment of any non-stationarity which may be present in the data. The seminar explores the developments in dynamic modelling and non-stationarity which have taken place over the last 50 years in Econometrics, including in-depth coverage types of non-stationarity and tests for them, including cointegrated relationships (shared trends) among multiple variables. A free version
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Koide, Reo, and Takuya Yoshimura. Dynamic Modelling and Sensitivity Analysis of Automobile Suspension Systems by Application of MBD. SAE International, 2005. http://dx.doi.org/10.4271/2005-08-0177.

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Baker, Donald, Avishalom Marani, and D. D. Davis. The Dynamic Aspects of Heterosis in Interspecific Crosses of Cotton-a Plant Modelling Approach. United States Department of Agriculture, 1988. http://dx.doi.org/10.32747/1988.7592661.bard.

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