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Статті в журналах з теми "Time series"
Cipra, Tomáš. "Asymmetric recursive methods for time series." Applications of Mathematics 39, no. 3 (1994): 203–14. http://dx.doi.org/10.21136/am.1994.134253.
Повний текст джерелаRatinger, Tomáš. "Seasonal time series with missing observations." Applications of Mathematics 41, no. 1 (1996): 41–55. http://dx.doi.org/10.21136/am.1996.134312.
Повний текст джерелаCIUIU, Daniel. "STRICT STATIONARY TIME SERIES AND AUTOCOPULA." Review of the Air Force Academy 16, no. 2 (October 31, 2018): 53–58. http://dx.doi.org/10.19062/1842-9238.2018.16.2.6.
Повний текст джерелаRay, W. D., Maurice Kendall, and J. K. Ord. "Time Series." Journal of the Royal Statistical Society. Series A (Statistics in Society) 157, no. 2 (1994): 308. http://dx.doi.org/10.2307/2983371.
Повний текст джерелаBooth, David E., Maurice Kendall, and J. Keith Ord. "Time Series." Technometrics 34, no. 1 (February 1992): 118. http://dx.doi.org/10.2307/1269585.
Повний текст джерелаKK, Maurice Kendall, and J. Keith Ord. "Time Series." Journal of the American Statistical Association 90, no. 432 (December 1995): 1492. http://dx.doi.org/10.2307/2291552.
Повний текст джерелаKK and Andrew Harvey. "Time Series." Journal of the American Statistical Association 90, no. 432 (December 1995): 1493. http://dx.doi.org/10.2307/2291556.
Повний текст джерелаZiegel, Eric R. "Time Series." Technometrics 44, no. 4 (November 2002): 408. http://dx.doi.org/10.1198/tech.2002.s95.
Повний текст джерелаHolmes, William M. "Time Series." International Journal of Forecasting 7, no. 4 (March 1992): 532–33. http://dx.doi.org/10.1016/0169-2070(92)90037-a.
Повний текст джерелаLounds, W. S., M. Kendall, and J. K. Ord. "Time Series." Statistician 43, no. 3 (1994): 461. http://dx.doi.org/10.2307/2348592.
Повний текст джерелаДисертації з теми "Time series"
Rajan, Jebu Jacob. "Time series classification." Thesis, University of Cambridge, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.339538.
Повний текст джерелаPope, Kenneth James. "Time series analysis." Thesis, University of Cambridge, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318445.
Повний текст джерелаYin, Jiang Ling. "Financial time series analysis." Thesis, University of Macau, 2011. http://umaclib3.umac.mo/record=b2492929.
Повний текст джерелаGore, Christopher Mark. "A time series classifier." Diss., Rolla, Mo. : Missouri University of Science and Technology, 2008. http://scholarsmine.mst.edu/thesis/pdf/Gore_09007dcc804e6461.pdf.
Повний текст джерелаVita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed April 29, 2008) Includes bibliographical references (p. 53-55).
NETO, ANSELMO CHAVES. "BOOTSTRAP IN TIME SERIES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1991. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=8324@1.
Повний текст джерелаThe bootstrap of B. Efron, what should not be imagined without fast andcheaper computation, can solve several problems free from assumption that the data conform to a bell-shaped curve. This work has the aim to present this computer-intensive technics in the context of Time Series - Box and Jenkins´s Methodology. As we know this methodology own some asymptotic results. Then in the identification stage of the structure of the model it may present some troubles on regions of the parametric space, as we show later on the bootstrap is proposed as an aption and a comparative simulation study is pointed out. We build up the bootstrap distribution of the sample autocorrelation and sample partial autocorrelation, and yet a bootstrap distribution to the non-linear LS estimator of the coefficients to the ARMA (p,q) model. As a consequence we get the non- parametric measure of the accuracy of the estimates. The study of simulation wich takes into account the non-linear LS estimato to the coefficients, actually focalize the borden of the stationarity and invertibility region.
AGUIAR, JOSE LUIZ DO NASCIMENTO DE. "TIME SERIES SYMILARITY MEASURES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2016. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=27789@1.
Повний текст джерелаCOORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE EXCELENCIA ACADEMICA
Atualmente, uma tarefa muito importante na mineração de dados é compreender como extrair os dados mais informativos dentre um número muito grande de dados. Uma vez que todos os campos de conhecimento apresentam uma grande quantidade de dados que precisam ser reduzidas até as informações mais representativas, a abordagem das séries temporais é definitivamente um método muito forte para representar e extrair estas informações. No entanto nós precisamos ter uma ferramenta apropriada para inferir os dados mais significativos destas séries temporais, e para nos ajudar, podemos utilizar alguns métodos de medida de similaridade para saber o grau de igualdade entre duas séries temporais, e nesta pesquisa nós vamos realizar um estudo utilizando alguns métodos de similaridade baseados em medidas de distância e aplicar estes métodos em alguns algoritmos de clusterização para fazer uma avaliação de se existe uma combinação (método de similaridade baseado em distância / algoritmo de clusterização) que apresenta uma performance melhor em relação a todos os outros utilizados neste estudo, ou se existe um método de similaridade baseado em distância que mostra um desempenho melhor que os demais.
Nowadays a very important task in data mining is to understand how to collect the most informative data in a very amount of data. Once every single field of knowledge have lots of data to summarize in the most representative information, the time series approach is definitely a very strong way to represent and collect this information from it (12, 22). On other hand we need to have an appropriate tool to extract the most significant data from this time series. To help us we can use some similarity methods to know how similar is one time series from another In this work we will perform a research using some distance-based similarity methods and apply it in some clustering algorithms to do an assessment to see if there is a combination (distance-based similarity methods / clustering algorithm) that present a better performance in relation with all the others used in this work or if there exists one distancebased similarity method that shows a better performance between the others.
Yin, Yong. "Outliers in Time Series /." Connect to resource, 1995. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1262638388.
Повний текст джерелаRana, Md Mashud. "Energy time series prediction." Thesis, The University of Sydney, 2014. http://hdl.handle.net/2123/11745.
Повний текст джерелаGrubb, Howard John. "Multivariate time series modelling." Thesis, University of Bath, 1990. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.280803.
Повний текст джерелаAhsan, Ramoza. "Time Series Data Analytics." Digital WPI, 2019. https://digitalcommons.wpi.edu/etd-dissertations/529.
Повний текст джерелаКниги з теми "Time series"
Kendall, Maurice G. Time series. 3rd ed. Seven Oaks, Kent: E. Arnold, 1990.
Знайти повний текст джерелаMaurice, Kendall. Time series. 3rd ed. Sevenoaks: Edward Arnold, 1993.
Знайти повний текст джерелаC, Harvey A., ed. Time series. Aldershot, Hants, England: E. Elgar, 1994.
Знайти повний текст джерелаChan, Ngai Hang. Time Series. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9781118032466.
Повний текст джерелаMadsen, Henrik. Time series analysis. Boca Raton: Chapman & Hall/CRC, 2008.
Знайти повний текст джерелаOstrom, Charles. Time Series Analysis. 2455 Teller Road, Thousand Oaks California 91320 United States of America: SAGE Publications, Inc., 1990. http://dx.doi.org/10.4135/9781412986366.
Повний текст джерелаDeistler, Manfred, and Wolfgang Scherrer. Time Series Models. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13213-1.
Повний текст джерелаMaoz, Dan, Amiel Sternberg, and Elia M. Leibowitz, eds. Astronomical Time Series. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-015-8941-3.
Повний текст джерелаPowell, Thomas M., and John H. Steele, eds. Ecological Time Series. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-6881-0.
Повний текст джерелаPowell, Thomas M., and John H. Steele, eds. Ecological Time Series. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-1769-6.
Повний текст джерелаЧастини книг з теми "Time series"
Marin, Jean-Michel, and Christian P. Robert. "Time Series." In Springer Texts in Statistics, 209–50. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8687-9_7.
Повний текст джерелаVenables, W. N., and B. D. Ripley. "Time Series." In Modern Applied Statistics with S-Plus, 349–82. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4899-2819-1_14.
Повний текст джерелаManly, Bryan F. J. "Time series." In Randomization and Monte Carlo Methods in Biology, 164–204. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-2995-2_9.
Повний текст джерелаKass, Robert E., Uri T. Eden, and Emery N. Brown. "Time Series." In Springer Series in Statistics, 513–61. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-9602-1_18.
Повний текст джерелаVenables, W. N., and B. D. Ripley. "Time Series." In Statistics and Computing, 431–68. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4757-2719-7_15.
Повний текст джерелаRouan, Daniel. "Time Series." In Encyclopedia of Astrobiology, 1675. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-11274-4_1593.
Повний текст джерелаGooch, Jan W. "Time Series." In Encyclopedic Dictionary of Polymers, 999. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_15403.
Повний текст джерелаHull, Isaiah. "Time Series." In Machine Learning for Economics and Finance in TensorFlow 2, 249–79. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6373-0_7.
Повний текст джерелаMukhopadhyay, Sayan. "Time Series." In Advanced Data Analytics Using Python, 121–43. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3450-1_6.
Повний текст джерелаKenny, Peter. "Time Series." In Better Business Decisions from Data, 197–203. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0184-8_19.
Повний текст джерелаТези доповідей конференцій з теми "Time series"
Gunopulos, Dimitrios, and Gautam Das. "Time series similarity measures and time series indexing." In the 2001 ACM SIGMOD international conference. New York, New York, USA: ACM Press, 2001. http://dx.doi.org/10.1145/375663.375808.
Повний текст джерелаde Carvalho, Osmar Abilio, Renato Fontes Guimaraes, Roberto Arnaldo Trancoso Gomes, and Nilton Correia da Silva. "Time series interpolation." In 2007 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2007. http://dx.doi.org/10.1109/igarss.2007.4423211.
Повний текст джерелаYe, Lexiang, and Eamonn Keogh. "Time series shapelets." In the 15th ACM SIGKDD international conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1557019.1557122.
Повний текст джерелаFrancke, Marc. "Time Series Econometrics." In 25th Annual European Real Estate Society Conference. European Real Estate Society, 2016. http://dx.doi.org/10.15396/eres2016_380.
Повний текст джерелаCombes, Florian, Ricardo Fraiman, and Badih Ghattas. "Time Series Sampling." In ITISE 2022. Basel Switzerland: MDPI, 2022. http://dx.doi.org/10.3390/engproc2022018032.
Повний текст джерелаYe, Yufeng, Qichao He, Peng Zhang, Jie Xiao, and Zhao Li. "Multivariate Time Series Anomaly Detection with Fourier Time Series Transformer." In 2023 IEEE 12th International Conference on Cloud Networking (CloudNet). IEEE, 2023. http://dx.doi.org/10.1109/cloudnet59005.2023.10490086.
Повний текст джерелаRakthanmanon, Thanawin, Eamonn J. Keogh, Stefano Lonardi, and Scott Evans. "Time Series Epenthesis: Clustering Time Series Streams Requires Ignoring Some Data." In 2011 IEEE 11th International Conference on Data Mining (ICDM). IEEE, 2011. http://dx.doi.org/10.1109/icdm.2011.146.
Повний текст джерелаZhu, Yan, Makoto Imamura, Daniel Nikovski, and Eamonn Keogh. "Time Series Chains: A Novel Tool for Time Series Data Mining." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/764.
Повний текст джерелаMei, Xu, and Huang Chao. "Financial time series difference analysis based on symbolic time series method." In 2011 International Conference on E-Business and E-Government (ICEE). IEEE, 2011. http://dx.doi.org/10.1109/icebeg.2011.5882598.
Повний текст джерелаKurbalija, Vladimir, and Brankica Bratic. "Time series reconstruction analysis." In 2016 IEEE 8th International Conference on Intelligent Systems (IS). IEEE, 2016. http://dx.doi.org/10.1109/is.2016.7737400.
Повний текст джерелаЗвіти організацій з теми "Time series"
Broemeling, Lyle. Changing Time Series. Fort Belvoir, VA: Defense Technical Information Center, August 1986. http://dx.doi.org/10.21236/ada178030.
Повний текст джерелаAdler, Robert J., Raisa E. Feldman, and Colin Gallagher. Analysing Stable Time Series. Fort Belvoir, VA: Defense Technical Information Center, January 1997. http://dx.doi.org/10.21236/ada336964.
Повний текст джерелаRamos, Ernesto. Resampling Methods for Time Series. Fort Belvoir, VA: Defense Technical Information Center, August 1988. http://dx.doi.org/10.21236/ada198942.
Повний текст джерелаWilliamson, M. A. Benchmarking of energy time series. Office of Scientific and Technical Information (OSTI), April 1990. http://dx.doi.org/10.2172/6990845.
Повний текст джерелаTichomirova, T. M., and A. G. Sukiasyan. Test bank «Time Series Models». Ailamazyan Program Systems Institute of Russian Academy of Sciences, November 2023. http://dx.doi.org/10.12731/ofernio.2023.25215.
Повний текст джерелаLai, Eric, Daniel Moyer, Baichuan Yuan, Eric Fox, Blake Hunter, Andrea L. Bertozzi, and Jeffrey Brantingham. Topic Time Series Analysis of Microblogs. Fort Belvoir, VA: Defense Technical Information Center, October 2014. http://dx.doi.org/10.21236/ada610278.
Повний текст джерелаGlynn, P. W., and D. L. Iglehart. The Theory of Standardized Time Series. Fort Belvoir, VA: Defense Technical Information Center, April 1985. http://dx.doi.org/10.21236/ada158383.
Повний текст джерелаFriedman, Avner, Jr Miller, and Willard. Radar/Sonar and Time Series Analysis. Fort Belvoir, VA: Defense Technical Information Center, April 1991. http://dx.doi.org/10.21236/ada238496.
Повний текст джерелаJääskeläinen, Emmihenna. Construction of reliable albedo time series. Finnish Meteorological Institute, September 2023. http://dx.doi.org/10.35614/isbn.9789523361782.
Повний текст джерелаDeSmet, Chance, Michael Girard, Elizabeth Coda, and Yijing Watkins. Universal Fourier Attack for Time Series. Office of Scientific and Technical Information (OSTI), September 2023. http://dx.doi.org/10.2172/2338170.
Повний текст джерела