Literatura académica sobre el tema "Time-series analysis – Mathematical models"
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Artículos de revistas sobre el tema "Time-series analysis – Mathematical models"
Petrusevich, D. A. "ANALYSIS OF MATHEMATICAL MODELS USED FOR ECONOMETRICAL TIME SERIES FORECASTING". Russian Technological Journal 7, n.º 2 (16 de mayo de 2019): 61–73. http://dx.doi.org/10.32362/2500-316x-2019-7-2-61-73.
Texto completoNovotny, V., H. Jones, X. Feng y A. Capodaglio. "Time Series Analysis Models of Activated Sludge Plants". Water Science and Technology 23, n.º 4-6 (1 de febrero de 1991): 1107–16. http://dx.doi.org/10.2166/wst.1991.0562.
Texto completoRay, Bonnie K. "Regression Models for Time Series Analysis". Technometrics 45, n.º 4 (noviembre de 2003): 364. http://dx.doi.org/10.1198/tech.2003.s166.
Texto completoBrahimi, Tahar y Tahar Smain. "A Nonstationary Mathematical Model for Acceleration Time Series". Mathematical Modelling of Engineering Problems 8, n.º 2 (28 de abril de 2021): 246–52. http://dx.doi.org/10.18280/mmep.080211.
Texto completoYang, Xi, Bo Nie, Bing Di Liu, Hai Liu y Lun Bai. "Time Series Modeling and Analysis on the Silk Crape Satin Product". Advanced Materials Research 175-176 (enero de 2011): 412–17. http://dx.doi.org/10.4028/www.scientific.net/amr.175-176.412.
Texto completoChen, Qi, Han Zhao, Hongfang Qiu, Qiyin Wang, Dewei Zeng y Mengliang Ye. "Time series analysis of rubella incidence in Chongqing, China using SARIMA and BPNN mathematical models". Journal of Infection in Developing Countries 16, n.º 08 (30 de agosto de 2022): 1343–50. http://dx.doi.org/10.3855/jidc.16475.
Texto completoGluhovsky, Alexander y Kevin Grady. "Effective low-order models for atmospheric dynamics and time series analysis". Chaos: An Interdisciplinary Journal of Nonlinear Science 26, n.º 2 (febrero de 2016): 023119. http://dx.doi.org/10.1063/1.4942586.
Texto completoЕвстегнеева, V. Evstegneeva, Честнова, Tatyana Chestnova, Смольянинова y O. Smolyaninova. "Time series analysis in forecasting pririrodno focal infections". Journal of New Medical Technologies. eJournal 9, n.º 4 (8 de diciembre de 2015): 0. http://dx.doi.org/10.12737/17087.
Texto completoSidorova, N. Р. y D. S. Demina. "Comparison of results of forecasting of time series based on autoregression analysis and model trends". Informacionno-technologicheskij vestnik 13, n.º 3 (30 de septiembre de 2017): 118–26. http://dx.doi.org/10.21499/2409-1650-2017-3-118-126.
Texto completoKalugin, T. R., A. K. Kim y D. A. Petrusevich. "Analysis of the high order ADL(p, q) models used to describe connections between time series". Russian Technological Journal 8, n.º 2 (14 de abril de 2020): 7–22. http://dx.doi.org/10.32362/2500-316x-2020-8-2-7-22.
Texto completoTesis sobre el tema "Time-series analysis – Mathematical models"
黃鎮山 y Chun-shan Wong. "Statistical inference for some nonlinear time series models". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B31239444.
Texto completoWong, Chun-shan. "Statistical inference for some nonlinear time series models /". Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B20715316.
Texto completoCheung, King Chau. "Modelling multiple time series with missing observations". Thesis, Canberra, ACT : The Australian National University, 1993. http://hdl.handle.net/1885/133887.
Texto completoJin, Shusong y 金曙松. "Nonlinear time series modeling with application to finance and other fields". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B3199605X.
Texto completoChan, Yin-ting y 陳燕婷. "Topics on actuarial applications of non-linear time series models". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B32002099.
Texto completoLin, Zhongli y 林中立. "On the statistical inference of some nonlinear time series models". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43757625.
Texto completoYiu, Fu-keung y 饒富強. "Time series analysis of financial index". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1996. http://hub.hku.hk/bib/B31267804.
Texto completoKilminster, Devin. "Modelling dynamical systems via behaviour criteria". University of Western Australia. Dept. of Mathematics and Statistics, 2002. http://theses.library.uwa.edu.au/adt-WU2003.0029.
Texto completoThyer, Mark Andrew. "Modelling long-term persistence in hydrological time series". Diss., 2000, 2000. http://www.newcastle.edu.au/services/library/adt/public/adt-NNCU20020531.035349/index.html.
Texto completoRivera, Pablo Marshall. "Analysis of a cross-section of time series using structural time series models". Thesis, London School of Economics and Political Science (University of London), 1990. http://etheses.lse.ac.uk/13/.
Texto completoLibros sobre el tema "Time-series analysis – Mathematical models"
Harvey, A. C. Time series models. 2a ed. New York: Harvester Wheatsheaf, 1993.
Buscar texto completoHarvey, A. C. Time series models. 2a ed. New York: Harvester Wheatsheaf, 1992.
Buscar texto completoTime series models. 2a ed. Cambridge, Mass: MIT Press, 1993.
Buscar texto completo1958-, Williams John T., ed. Multiple time series models. Thousand Oaks, Calif: Sage Publications, 2007.
Buscar texto completoGourieroux, Christian. Time series and dynamic models. Cambridge: Cambridge University Press, 1997.
Buscar texto completoGourieroux, Christian. Time series and dynamic models. New York: Cambridge University Press, 1997.
Buscar texto completoLewis, Peter A. W. Some simple models for continuous variate time series. Monterey, Calif: Naval Postgraduate School, 1985.
Buscar texto completoMueller, Uli. Testing models of low-frequency variability. Cambridge, Mass: National Bureau of Economic Research, 2006.
Buscar texto completoBrockwell, Peter J. Time series: Theory and methods. 2a ed. New York: Springer, 1996.
Buscar texto completoA, Davis Richard, ed. Time series: Theory and methods. New York: Springer-Verlag, 1987.
Buscar texto completoCapítulos de libros sobre el tema "Time-series analysis – Mathematical models"
Enright, Catherine G., Michael G. Madden, Niall Madden y John G. Laffey. "Clinical Time Series Data Analysis Using Mathematical Models and DBNs". En Artificial Intelligence in Medicine, 159–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22218-4_20.
Texto completoLai, Tze Leung y Samuel Po-Shing Wong. "Combining domain knowledge and statistical models in time series analysis". En Institute of Mathematical Statistics Lecture Notes - Monograph Series, 193–209. Beachwood, Ohio, USA: Institute of Mathematical Statistics, 2006. http://dx.doi.org/10.1214/074921706000001049.
Texto completoGupta, Mohit, Ayushi Asthana, Nishant Joshi y Pulkit Mehndiratta. "Improving Time Series Forecasting Using Mathematical and Deep Learning Models". En Big Data Analytics, 115–25. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04780-1_8.
Texto completoLayton, W. y M. McLaughlin. "On URANS Congruity with Time Averaging: Analytical Laws Suggest Improved Models". En Mathematical Analysis With Applications, 85–108. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42176-2_10.
Texto completoEltoft, Torbjørn, Laurent Ferro-Famil, Stian N. Anfinsen y Anthony P. Doulgeris. "Polarimetric SAR Modelling: Mellin Kind Statistics and Time-Frequency Analysis". En Mathematical Models for Remote Sensing Image Processing, 191–242. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66330-2_5.
Texto completoPavlova, N. G. "Applications of the Theory of Covering Maps to the Study of Dynamic Models of Economic Processes with Continuous Time". En Mathematical Analysis With Applications, 123–29. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42176-2_12.
Texto completoNewman, W. I. y Y. Terzian. "Power Spectrum Analysis and Redshift Data". En Modern Mathematical Models of Time and their Applications to Physics and Cosmology, 127–41. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5628-8_11.
Texto completoDhillon, B. S. "Mathematical Models for Performing Human Reliability and Error Analysis in Power Plants". En Springer Series in Reliability Engineering, 151–68. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04019-6_11.
Texto completoGoyal, Manish, Amit Prakash y Shivangi Gupta. "Numerical Analysis of Coupled Time-Fractional Differential Equations Arising in Epidemiological Models". En Mathematical Modeling and Soft Computing in Epidemiology, 173–98. First edition. | Boca Raton, FL : CRC Press, 2021. |: CRC Press, 2020. http://dx.doi.org/10.1201/9781003038399-9.
Texto completoSutradhar, Brajendra C. "On cluster regression and factor analysis models with elliptic $t$ errors". En Institute of Mathematical Statistics Lecture Notes - Monograph Series, 369–83. Hayward, CA: Institute of Mathematical Statistics, 1994. http://dx.doi.org/10.1214/lnms/1215463809.
Texto completoActas de conferencias sobre el tema "Time-series analysis – Mathematical models"
Freudenthaler, Christoph, Steffen Rendle, Lars Schmidt-Thieme, Theodore E. Simos, George Psihoyios, Ch Tsitouras y Zacharias Anastassi. "Factorizing Markov Models for Categorical Time Series Prediction". En NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2011: International Conference on Numerical Analysis and Applied Mathematics. AIP, 2011. http://dx.doi.org/10.1063/1.3636749.
Texto completoAbdulkadir, Said Jadid y Suet-Peng Yong. "Lorenz time-series analysis using a scaled hybrid model". En 2015 International Symposium on Mathematical Sciences and Computing Research (iSMSC). IEEE, 2015. http://dx.doi.org/10.1109/ismsc.2015.7594082.
Texto completoÇekim, Hatice Ö, Cem Kadılar y Gamze Özel. "Characterizing forest fire activity in Turkey by compound Poisson and time series models". En 11TH INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2013: ICNAAM 2013. AIP, 2013. http://dx.doi.org/10.1063/1.4825789.
Texto completoGonçalves, A. Manuela, Olexandr Baturin y Marco Costa. "Time series analysis by state space models applied to a water quality data in Portugal". En INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2017). Author(s), 2018. http://dx.doi.org/10.1063/1.5044171.
Texto completoSestelo, Marta, Nora M. Villanueva, Javier Roca-Pardiñas, Theodore E. Simos, George Psihoyios, Ch Tsitouras y Zacharias Anastassi. "Selecting Variables in Regression Models. A New Approach to the Prediction of Time Series of S O[sub 2]". En NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2011: International Conference on Numerical Analysis and Applied Mathematics. AIP, 2011. http://dx.doi.org/10.1063/1.3637003.
Texto completoZolock, John y Robert Greif. "Application of Time Series Analysis and Neural Networks to the Modeling and Analysis of Forced Vibrating Mechanical Systems". En ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-55519.
Texto completoCotrim, Lucas Pereira, Henrique Barros Oliveira, Asdrubal N. Queiroz Filho, Ismael H. F. Santos, Rodrigo Augusto Barreira, Eduardo Aoun Tannuri, Anna Helena Reali Costa y Edson Satoshi Gomi. "Neural Network Meta-Models for FPSO Motion Prediction From Environmental Data". En ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/omae2021-62674.
Texto completoTaghipour, Reza, Tristan Perez y Torgeir Moan. "Time Domain Hydroelastic Analysis of a Flexible Marine Structure Using State-Space Models". En ASME 2007 26th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2007. http://dx.doi.org/10.1115/omae2007-29272.
Texto completoPiehl, Henry y Ould el Moctar. "A Mathematical Model for Roll Damping Prediction". En ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/omae2015-41642.
Texto completoSchmidt, Michael D. y Hod Lipson. "Data-Mining Dynamical Systems: Automated Symbolic System Identification for Exploratory Analysis". En ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2008. http://dx.doi.org/10.1115/esda2008-59309.
Texto completoInformes sobre el tema "Time-series analysis – Mathematical models"
Astafieva, Mariia M., Oleksii B. Zhyltsov y Volodymyr V. Proshkin. E-learning as a mean of forming students' mathematical competence in a research-oriented educational process. [б. в.], julio de 2020. http://dx.doi.org/10.31812/123456789/3896.
Texto completoEichenbaum, Martin, Lars Peter Hansen y Kenneth Singleton. A Time Series Analysis of Representative Agent Models of Consumption andLeisure Choice Under Uncertainty. Cambridge, MA: National Bureau of Economic Research, julio de 1986. http://dx.doi.org/10.3386/w1981.
Texto completoKuropiatnyk, D. I. Actuality of the problem of parametric identification of a mathematical model. [б. в.], diciembre de 2018. http://dx.doi.org/10.31812/123456789/2885.
Texto completoTanny, Josef, Gabriel Katul, Shabtai Cohen y Meir Teitel. Micrometeorological methods for inferring whole canopy evapotranspiration in large agricultural structures: measurements and modeling. United States Department of Agriculture, octubre de 2015. http://dx.doi.org/10.32747/2015.7594402.bard.
Texto completoSaptsin, Vladimir y Володимир Миколайович Соловйов. Relativistic quantum econophysics – new paradigms in complex systems modelling. [б.в.], julio de 2009. http://dx.doi.org/10.31812/0564/1134.
Texto completoModlo, Yevhenii O., Serhiy O. Semerikov, Stanislav L. Bondarevskyi, Stanislav T. Tolmachev, Oksana M. Markova y Pavlo P. Nechypurenko. Methods of using mobile Internet devices in the formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects. [б. в.], febrero de 2020. http://dx.doi.org/10.31812/123456789/3677.
Texto completoSemerikov, Serhiy, Illia Teplytskyi, Yuliia Yechkalo, Oksana Markova, Vladimir Soloviev y Arnold Kiv. Computer Simulation of Neural Networks Using Spreadsheets: Dr. Anderson, Welcome Back. [б. в.], junio de 2019. http://dx.doi.org/10.31812/123456789/3178.
Texto completoShadurdyyev, G. Analysis of sets of factors affecting the variable flow of the Amu Darya River to create a seasonal prognostic model. Kazakh-German University, diciembre de 2022. http://dx.doi.org/10.29258/dkucrswp/2022/53-72.eng.
Texto completoZaika, Oksana V., Tetiana A. Vakaliuk, Andrii V. Riabko, Roman P. Kukharchuk, Iryna S. Mintii y Serhiy O. Semerikov. Selection of online tools for creating math tests. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4594.
Texto completoBerney, Ernest, Naveen Ganesh, Andrew Ward, J. Newman y John Rushing. Methodology for remote assessment of pavement distresses from point cloud analysis. Engineer Research and Development Center (U.S.), abril de 2021. http://dx.doi.org/10.21079/11681/40401.
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