Gotowa bibliografia na temat „Time-series analysis – Mathematical models”
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Artykuły w czasopismach na temat "Time-series analysis – Mathematical models"
Petrusevich, D. A. "ANALYSIS OF MATHEMATICAL MODELS USED FOR ECONOMETRICAL TIME SERIES FORECASTING". Russian Technological Journal 7, nr 2 (16.05.2019): 61–73. http://dx.doi.org/10.32362/2500-316x-2019-7-2-61-73.
Pełny tekst źródłaNovotny, V., H. Jones, X. Feng i A. Capodaglio. "Time Series Analysis Models of Activated Sludge Plants". Water Science and Technology 23, nr 4-6 (1.02.1991): 1107–16. http://dx.doi.org/10.2166/wst.1991.0562.
Pełny tekst źródłaRay, Bonnie K. "Regression Models for Time Series Analysis". Technometrics 45, nr 4 (listopad 2003): 364. http://dx.doi.org/10.1198/tech.2003.s166.
Pełny tekst źródłaBrahimi, Tahar, i Tahar Smain. "A Nonstationary Mathematical Model for Acceleration Time Series". Mathematical Modelling of Engineering Problems 8, nr 2 (28.04.2021): 246–52. http://dx.doi.org/10.18280/mmep.080211.
Pełny tekst źródłaYang, Xi, Bo Nie, Bing Di Liu, Hai Liu i Lun Bai. "Time Series Modeling and Analysis on the Silk Crape Satin Product". Advanced Materials Research 175-176 (styczeń 2011): 412–17. http://dx.doi.org/10.4028/www.scientific.net/amr.175-176.412.
Pełny tekst źródłaChen, Qi, Han Zhao, Hongfang Qiu, Qiyin Wang, Dewei Zeng i Mengliang Ye. "Time series analysis of rubella incidence in Chongqing, China using SARIMA and BPNN mathematical models". Journal of Infection in Developing Countries 16, nr 08 (30.08.2022): 1343–50. http://dx.doi.org/10.3855/jidc.16475.
Pełny tekst źródłaGluhovsky, Alexander, i Kevin Grady. "Effective low-order models for atmospheric dynamics and time series analysis". Chaos: An Interdisciplinary Journal of Nonlinear Science 26, nr 2 (luty 2016): 023119. http://dx.doi.org/10.1063/1.4942586.
Pełny tekst źródłaЕвстегнеева, V. Evstegneeva, Честнова, Tatyana Chestnova, Смольянинова i O. Smolyaninova. "Time series analysis in forecasting pririrodno focal infections". Journal of New Medical Technologies. eJournal 9, nr 4 (8.12.2015): 0. http://dx.doi.org/10.12737/17087.
Pełny tekst źródłaSidorova, N. Р., i D. S. Demina. "Comparison of results of forecasting of time series based on autoregression analysis and model trends". Informacionno-technologicheskij vestnik 13, nr 3 (30.09.2017): 118–26. http://dx.doi.org/10.21499/2409-1650-2017-3-118-126.
Pełny tekst źródłaKalugin, T. R., A. K. Kim i D. A. Petrusevich. "Analysis of the high order ADL(p, q) models used to describe connections between time series". Russian Technological Journal 8, nr 2 (14.04.2020): 7–22. http://dx.doi.org/10.32362/2500-316x-2020-8-2-7-22.
Pełny tekst źródłaRozprawy doktorskie na temat "Time-series analysis – Mathematical models"
黃鎮山 i 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.
Pełny tekst źródłaWong, 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.
Pełny tekst źródłaCheung, King Chau. "Modelling multiple time series with missing observations". Thesis, Canberra, ACT : The Australian National University, 1993. http://hdl.handle.net/1885/133887.
Pełny tekst źródłaJin, Shusong, i 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.
Pełny tekst źródłaChan, Yin-ting, i 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.
Pełny tekst źródłaLin, Zhongli, i 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.
Pełny tekst źródłaYiu, Fu-keung, i 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.
Pełny tekst źródłaKilminster, 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.
Pełny tekst źródłaThyer, 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.
Pełny tekst źródłaRivera, 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/.
Pełny tekst źródłaKsiążki na temat "Time-series analysis – Mathematical models"
Harvey, A. C. Time series models. Wyd. 2. New York: Harvester Wheatsheaf, 1993.
Znajdź pełny tekst źródłaHarvey, A. C. Time series models. Wyd. 2. New York: Harvester Wheatsheaf, 1992.
Znajdź pełny tekst źródłaTime series models. Wyd. 2. Cambridge, Mass: MIT Press, 1993.
Znajdź pełny tekst źródła1958-, Williams John T., red. Multiple time series models. Thousand Oaks, Calif: Sage Publications, 2007.
Znajdź pełny tekst źródłaGourieroux, Christian. Time series and dynamic models. Cambridge: Cambridge University Press, 1997.
Znajdź pełny tekst źródłaGourieroux, Christian. Time series and dynamic models. New York: Cambridge University Press, 1997.
Znajdź pełny tekst źródłaLewis, Peter A. W. Some simple models for continuous variate time series. Monterey, Calif: Naval Postgraduate School, 1985.
Znajdź pełny tekst źródłaMueller, Uli. Testing models of low-frequency variability. Cambridge, Mass: National Bureau of Economic Research, 2006.
Znajdź pełny tekst źródłaBrockwell, Peter J. Time series: Theory and methods. Wyd. 2. New York: Springer, 1996.
Znajdź pełny tekst źródłaA, Davis Richard, red. Time series: Theory and methods. New York: Springer-Verlag, 1987.
Znajdź pełny tekst źródłaCzęści książek na temat "Time-series analysis – Mathematical models"
Enright, Catherine G., Michael G. Madden, Niall Madden i John G. Laffey. "Clinical Time Series Data Analysis Using Mathematical Models and DBNs". W Artificial Intelligence in Medicine, 159–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22218-4_20.
Pełny tekst źródłaLai, Tze Leung, i Samuel Po-Shing Wong. "Combining domain knowledge and statistical models in time series analysis". W 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.
Pełny tekst źródłaGupta, Mohit, Ayushi Asthana, Nishant Joshi i Pulkit Mehndiratta. "Improving Time Series Forecasting Using Mathematical and Deep Learning Models". W Big Data Analytics, 115–25. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04780-1_8.
Pełny tekst źródłaLayton, W., i M. McLaughlin. "On URANS Congruity with Time Averaging: Analytical Laws Suggest Improved Models". W Mathematical Analysis With Applications, 85–108. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42176-2_10.
Pełny tekst źródłaEltoft, Torbjørn, Laurent Ferro-Famil, Stian N. Anfinsen i Anthony P. Doulgeris. "Polarimetric SAR Modelling: Mellin Kind Statistics and Time-Frequency Analysis". W 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.
Pełny tekst źródłaPavlova, N. G. "Applications of the Theory of Covering Maps to the Study of Dynamic Models of Economic Processes with Continuous Time". W Mathematical Analysis With Applications, 123–29. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42176-2_12.
Pełny tekst źródłaNewman, W. I., i Y. Terzian. "Power Spectrum Analysis and Redshift Data". W 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.
Pełny tekst źródłaDhillon, B. S. "Mathematical Models for Performing Human Reliability and Error Analysis in Power Plants". W Springer Series in Reliability Engineering, 151–68. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04019-6_11.
Pełny tekst źródłaGoyal, Manish, Amit Prakash i Shivangi Gupta. "Numerical Analysis of Coupled Time-Fractional Differential Equations Arising in Epidemiological Models". W 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.
Pełny tekst źródłaSutradhar, Brajendra C. "On cluster regression and factor analysis models with elliptic $t$ errors". W 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.
Pełny tekst źródłaStreszczenia konferencji na temat "Time-series analysis – Mathematical models"
Freudenthaler, Christoph, Steffen Rendle, Lars Schmidt-Thieme, Theodore E. Simos, George Psihoyios, Ch Tsitouras i Zacharias Anastassi. "Factorizing Markov Models for Categorical Time Series Prediction". W 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.
Pełny tekst źródłaAbdulkadir, Said Jadid, i Suet-Peng Yong. "Lorenz time-series analysis using a scaled hybrid model". W 2015 International Symposium on Mathematical Sciences and Computing Research (iSMSC). IEEE, 2015. http://dx.doi.org/10.1109/ismsc.2015.7594082.
Pełny tekst źródłaÇekim, Hatice Ö, Cem Kadılar i Gamze Özel. "Characterizing forest fire activity in Turkey by compound Poisson and time series models". W 11TH INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2013: ICNAAM 2013. AIP, 2013. http://dx.doi.org/10.1063/1.4825789.
Pełny tekst źródłaGonçalves, A. Manuela, Olexandr Baturin i Marco Costa. "Time series analysis by state space models applied to a water quality data in Portugal". W INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2017). Author(s), 2018. http://dx.doi.org/10.1063/1.5044171.
Pełny tekst źródłaSestelo, Marta, Nora M. Villanueva, Javier Roca-Pardiñas, Theodore E. Simos, George Psihoyios, Ch Tsitouras i Zacharias Anastassi. "Selecting Variables in Regression Models. A New Approach to the Prediction of Time Series of S O[sub 2]". W 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.
Pełny tekst źródłaZolock, John, i Robert Greif. "Application of Time Series Analysis and Neural Networks to the Modeling and Analysis of Forced Vibrating Mechanical Systems". W ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-55519.
Pełny tekst źródłaCotrim, Lucas Pereira, Henrique Barros Oliveira, Asdrubal N. Queiroz Filho, Ismael H. F. Santos, Rodrigo Augusto Barreira, Eduardo Aoun Tannuri, Anna Helena Reali Costa i Edson Satoshi Gomi. "Neural Network Meta-Models for FPSO Motion Prediction From Environmental Data". W 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.
Pełny tekst źródłaTaghipour, Reza, Tristan Perez i Torgeir Moan. "Time Domain Hydroelastic Analysis of a Flexible Marine Structure Using State-Space Models". W ASME 2007 26th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2007. http://dx.doi.org/10.1115/omae2007-29272.
Pełny tekst źródłaPiehl, Henry, i Ould el Moctar. "A Mathematical Model for Roll Damping Prediction". W 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.
Pełny tekst źródłaSchmidt, Michael D., i Hod Lipson. "Data-Mining Dynamical Systems: Automated Symbolic System Identification for Exploratory Analysis". W ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2008. http://dx.doi.org/10.1115/esda2008-59309.
Pełny tekst źródłaRaporty organizacyjne na temat "Time-series analysis – Mathematical models"
Astafieva, Mariia M., Oleksii B. Zhyltsov i Volodymyr V. Proshkin. E-learning as a mean of forming students' mathematical competence in a research-oriented educational process. [б. в.], lipiec 2020. http://dx.doi.org/10.31812/123456789/3896.
Pełny tekst źródłaEichenbaum, Martin, Lars Peter Hansen i Kenneth Singleton. A Time Series Analysis of Representative Agent Models of Consumption andLeisure Choice Under Uncertainty. Cambridge, MA: National Bureau of Economic Research, lipiec 1986. http://dx.doi.org/10.3386/w1981.
Pełny tekst źródłaKuropiatnyk, D. I. Actuality of the problem of parametric identification of a mathematical model. [б. в.], grudzień 2018. http://dx.doi.org/10.31812/123456789/2885.
Pełny tekst źródłaTanny, Josef, Gabriel Katul, Shabtai Cohen i Meir Teitel. Micrometeorological methods for inferring whole canopy evapotranspiration in large agricultural structures: measurements and modeling. United States Department of Agriculture, październik 2015. http://dx.doi.org/10.32747/2015.7594402.bard.
Pełny tekst źródłaSaptsin, Vladimir, i Володимир Миколайович Соловйов. Relativistic quantum econophysics – new paradigms in complex systems modelling. [б.в.], lipiec 2009. http://dx.doi.org/10.31812/0564/1134.
Pełny tekst źródłaModlo, Yevhenii O., Serhiy O. Semerikov, Stanislav L. Bondarevskyi, Stanislav T. Tolmachev, Oksana M. Markova i 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.], luty 2020. http://dx.doi.org/10.31812/123456789/3677.
Pełny tekst źródłaSemerikov, Serhiy, Illia Teplytskyi, Yuliia Yechkalo, Oksana Markova, Vladimir Soloviev i Arnold Kiv. Computer Simulation of Neural Networks Using Spreadsheets: Dr. Anderson, Welcome Back. [б. в.], czerwiec 2019. http://dx.doi.org/10.31812/123456789/3178.
Pełny tekst źródłaShadurdyyev, G. Analysis of sets of factors affecting the variable flow of the Amu Darya River to create a seasonal prognostic model. Kazakh-German University, grudzień 2022. http://dx.doi.org/10.29258/dkucrswp/2022/53-72.eng.
Pełny tekst źródłaZaika, Oksana V., Tetiana A. Vakaliuk, Andrii V. Riabko, Roman P. Kukharchuk, Iryna S. Mintii i Serhiy O. Semerikov. Selection of online tools for creating math tests. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4594.
Pełny tekst źródłaBerney, Ernest, Naveen Ganesh, Andrew Ward, J. Newman i John Rushing. Methodology for remote assessment of pavement distresses from point cloud analysis. Engineer Research and Development Center (U.S.), kwiecień 2021. http://dx.doi.org/10.21079/11681/40401.
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