Bibliografias temáticas / Temporal data analysis / Livros

Livros sobre o tema "Temporal data analysis"

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Autor: Grafiati
Publicado: 7 de julho de 2024

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1

Cressie, Noel A. C. Statistics for spatio-temporal data. Hoboken, N.J: Wiley, 2011.

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2

Hsu, Wynne. Temporal and spatio-temporal data mining. Hershey PA: Idea Group Pub., 2008.

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3

Douzal-Chouakria, Ahlame, José A. Vilar e Pierre-François Marteau, eds. Advanced Analysis and Learning on Temporal Data. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44412-3.

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4

Sherman, Michael. Spatial statistics and spatio-temporal data: Covariance functions and directional properties. Chichester, West Sussex, U.K: Wiley, 2011.

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5

Ott, Thomas. Time-integrative geographic information systems: Management and analysis of spatio-temporal data. Berlin: Springer, 2001.

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6

Durrleman, Stanley, Tom Fletcher, Guido Gerig, Marc Niethammer e Xavier Pennec, eds. Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14905-9.

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7

Durrleman, Stanley, Tom Fletcher, Guido Gerig e Marc Niethammer, eds. Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33555-6.

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8

Ott, Thomas. Time-Integrative Geographic Information Systems: Management and Analysis of Spatio-Temporal Data. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001.

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9

International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining (2009 Wuhan, China). International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining: 13-14 October 2009, Wuhan, China. Editado por Liu Yaolin 1960-, Tang Xinming, Wuhan da xue. School of Resource and Environmental Science, China Jiao yu bu e SPIE (Society). Bellingham, Wash: SPIE, 2009.

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10

Wang, Jiaqiu. Shi kong xu lie shu ju fen xi he jian mo. 8a ed. Beijing: Ke xue chu ban she, 2012.

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11

International, Workshop on the Analysis of Multi-Temporal Remote Sensing Images (2nd 2003 Ispra Italy). Proceedings of the Second International Workshop on the Analysis of Multi-Temporal Remote Sensing Images: Multitemp 2003, Joint Research Centre, Ispra, Italy, 16-18 July 2003. [River Edge] N.J: World Scientific, 2004.

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12

International Council for the Exploration of the Sea., ed. Statistical analysis of the ICES Cooperative Monitoring Programme data on contaminants in fish muscle tissue (1978-1985) for determination of temporal trends. Copenhagen, Denmark: International Council for the Exploration of the Sea, 1989.

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13

Barbeaux, Steven J. Spatial and temporal analysis of eastern Bering Sea echo integration-trawl survey and catch data of walleye pollock, Theragra chalcogramma, for 2001 and 2002. Seattle, WA: Alaska Fisheries Science Center, U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, 2003.

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14

Barbeaux, Steven J. Spatial and temporal analysis of eastern Bering Sea echo integration-trawl survey and catch data of walleye pollock, Theragra chalcogramma, for 2001 and 2002. Seattle, WA: Alaska Fisheries Science Center, U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, 2003.

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15

Barbeaux, S. J. Spatial and temporal analysis of eastern Bering Sea echo integration-trawl survey and catch data of walleye pollock, Theragra chalcogramma, for 2001 and 2002. Seattle, WA: Alaska Fisheries Science Center, U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, 2003.

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16

United States. National Aeronautics and Space Administration., ed. X-ray spectral and temporal studies of the ultra-compact system X1916-05: Final report (8/15/96 - 2/14/98), grant NAG5-3298. [Washington, DC: National Aeronautics and Space Administration, 1998.

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17

Grindlay, Jonathan E. X-ray spectral and temporal studies of the ultra-compact system X1916-05: Final report (8/15/96 - 2/14/98), grant NAG5-3298. [Washington, DC: National Aeronautics and Space Administration, 1998.

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18

United States. National Aeronautics and Space Administration., ed. X-ray spectral and temporal studies of the ultra-compact system X1916-05: Final report (8/15/96 - 2/14/98), grant NAG5-3298. [Washington, DC: National Aeronautics and Space Administration, 1998.

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19

United States. National Aeronautics and Space Administration., ed. X-ray spectral and temporal studies of the ultra-compact system X1916-05: Final report (8/15/96 - 2/14/98), grant NAG5-3298. [Washington, DC: National Aeronautics and Space Administration, 1998.

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20

FORMATS 2004 (2004 Grenoble, France). Formal techniques, modelling and analysis of timed and fault-tolerant systems: Joint international conferences on formal modeling and analysis of timed systems, FORMATS 2004, and formal techniques in real-time and fault -tolerant systems, FTRTFT 2004, Grenoble, France, September 22-24, 2004 : proceedings. Editado por Lakhnech Y, Yovine Sergio, LINK (Online service) e FTRTFT 2004 (2004 : Grenoble, France). Berlin: Springer, 2004.

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21

FORMATS 2004 (2004 Grenoble, France). Formal techniques, modelling and analysis of timed and fault-tolerant systems: Joint international conferences on Formal Modelling and Analysis of Timed Systems, FORMATS 2004 and Formal Techniques in Real-Time and Fault-Tolerant Systems, FTRTFT 2004, Grenoble, France, September 22-24, 2004 : proceedings. Berlin: Springer, 2004.

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22

Durrleman, Stanley. Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data: Second International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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23

Li, Xia. Shi jian yu zhong de shi jian bo mo xing: Shi kong shu ju de shi jue tan suo huan jing = The Time Wave in Time Space : A Visual Exploration Environment for Spatio-temporal Data. 8a ed. Beijing: Ce hui chu ban she, 2014.

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24

Ouaknine, Joël. Formal Modeling and Analysis of Timed Systems: 7th International Conference, FORMATS 2009, Budapest, Hungary, September 14-16, 2009. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009.

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25

Ono, Yukako. Manufacturing plants' use of temporary workers: An analysis using census micro data. Chicago, Ill.]: Federal Reserve Bank of Chicago, 2006.

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26

Grigorev, Anatoliy. Methods and algorithms of data processing. ru: INFRA-M Academic Publishing LLC., 2017. http://dx.doi.org/10.12737/22119.

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In this manual some methods and algorithms of data processing, the sequence of the solution of problems of processing and the analysis of data for creation of behavior model of an object taking into account all a component of his mathematical model are considered. Types of technological methods of use of software and hardware for the solution of tasks in this area are described. Algorithms of distributions, regressions of temporary ranks, their transformation for the purpose of receiving mathematical models and the forecast of behavior of information and economic systems (objects) are considered. Conforms to requirements of the Federal state educational standard of the higher education of the last generation. For students of economic specialties, experts, graduate students.
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27

Aigner, Wolfgang. Visualization of Time-Oriented Data. London: Springer-Verlag London Limited, 2011.

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28

Wikle, Christopher K., e Noel Cressie. Statistics for Spatio-Temporal Data. Wiley & Sons, Incorporated, John, 2015.

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29

Wikle, Christopher K., e Noel Cressie. Statistics for Spatio-Temporal Data. Wiley & Sons, Incorporated, John, 2011.

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30

Wikle, Christopher K., e Noel Cressie. Statistics for Spatio-Temporal Data. Wiley & Sons, Incorporated, John, 2012.

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31

Wikle, Christopher K., e Noel Cressie. Statistics for Spatio-Temporal Data. Wiley & Sons, Incorporated, John, 2015.

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32

Legros, Di. Spatial and Spatio-Temporal Data Analysis. Wiley & Sons, Incorporated, John, 2014.

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33

Wikle. Statistics for Spatio-Temporal Data. John Wiley & Sons Inc, 2007.

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34

Sherman, Michael. Spatial Statistics and Spatio-Temporal Data. Wiley & Sons, Incorporated, John, 2010.

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35

Shekhar, Shashi, e Venkata M. V. Gunturi. Spatio-Temporal Graph Data Analytics. Springer, 2018.

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36

Shekhar, Shashi, e Venkata M. V. Gunturi. Spatio-Temporal Graph Data Analytics. Springer, 2019.

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37

Li, Guangquan, e Robert P. Haining. Modelling Spatial and Spatial-Temporal Data. Taylor & Francis Group, 2021.

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38

Hsu, Wynne, Mong Li Lee e Junmei Wang. Temporal and Spatio-temporal Data Mining. IGI Publishing, 2007.

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39

Exploratory Analysis of Spatial and Temporal Data. Berlin/Heidelberg: Springer-Verlag, 2006. http://dx.doi.org/10.1007/3-540-31190-4.

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40

Lopes, Hedibert, e Nicholas Polson. Analysis of economic data with multiscale spatio-temporal models. Editado por Anthony O'Hagan e Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.12.

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This article discusses the use of Bayesian multiscale spatio-temporal models for the analysis of economic data. It demonstrates the utility of a general modelling approach for multiscale analysis of spatio-temporal processes with areal data observations in an economic study of agricultural production in the Brazilian state of Espìrito Santo during the period 1990–2005. The article first describes multiscale factorizations for spatial processes before presenting an exploratory multiscale data analysis and explaining the motivation for multiscale spatio-temporal models. It then examines the temporal evolution of the underlying latent multiscale coefficients and goes on to introduce a Bayesian analysis based on the multiscale decomposition of the likelihood function along with Markov chain Monte Carlo (MCMC) methods. The results from agricultural production analysis show that the spatio-temporal framework can effectively analyse massive economics data sets.
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41

Li, Guangquan, e Robert P. Haining. Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach. Taylor & Francis Group, 2020.

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42

Andrienko, Natalia, e Gennady Andrienko. Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach. Springer London, Limited, 2006.

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43

Andrienko, Natalia, e Gennady Andrienko. Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach. Springer, 2005.

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44

Andrienko, Natalia, e Gennady Andrienko. Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach. Springer, 2016.

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45

Li, Guangquan, e Robert P. Haining. Regression Modelling Wih Spatial and Spatial-Temporal Data: A Bayesian Approach. Taylor & Francis Group, 2020.

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46

Li, Guangquan, e Robert P. Haining. Regression Modelling Wih Spatial and Spatial-Temporal Data: A Bayesian Approach. Taylor & Francis Group, 2020.

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47

Sherman, Michael. Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional Properties. Wiley & Sons, Incorporated, John, 2011.

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48

Sherman, Michael. Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional Properties. Wiley & Sons, Incorporated, John, 2011.

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49

Sherman, Michael. Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional Properties. Wiley & Sons, Incorporated, John, 2010.

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50

Sherman, Michael. Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional Properties. Wiley & Sons, Limited, John, 2010.

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