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Análisis de series de tiempo
17
Métodos estadísticos
5
Análisis de series cronológicas
3
Modelos matemáticos
3
Ciencias sociales
2
Meteorología
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Procesamiento de datos
2
Sistemas de control por retroalimentación
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Teoría de la predicción
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Análisis de regresión
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Análisis multivariante
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Astronomía estadística
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Biología
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Biometría
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Comportamiento caótico en sistemas
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Congresos
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Filosofía
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R (Lenguaje de programación)
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Visualización de la información
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2001por Zhang, Xingyu, Zhang, Tao, Pei, Jiao, Liu, Yuanyuan, Li, Xiaosong, Medrano-Gracia, Pau“…All univariate time series showed highest goodness-of-fit results with the ARIMA(0,0,1)×(0,1,1) model. CONCLUSION: Time series analysis was an effective tool for modelling the historical and future incidence of syphilis in China. …”
Publicado 2016
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2002“…APC initiations were measured and corrected per 1000 patient-days; interrupted time-series analysis was performed to assess changes in use before and after implementation. …”
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2003por Turner, T. Edward, Swindles, Graeme T., Charman, Dan J., Langdon, Peter G., Morris, Paul J., Booth, Robert K., Parry, Lauren E., Nichols, Jonathan E.“…These studies have compared proxy-climate data with records of solar variability (e.g. (14)C or (10)Be), or have used time series analysis to test for the presence of solar-type cycles. …”
Publicado 2016
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2004Publicado 2014“…The data was processed using time-series analysis and data mining techniques, to automatically detect and identify the different events. …”
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2005“…MATERIALS AND METHODS: All the information related to fatal traffic accidents available in the database of Iran Legal Medicine Organization from 2004 to the end of 2013 were used to determine the change points (multi-variable time series analysis). Using autoregressive integrated moving average (ARIMA) model, traffic accidents death rates were predicted for 2014 and 2015, and a comparison was made between this rate and the predicted value in order to determine the efficiency of the model. …”
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2006por van Deurs, Mikael, Persson, Anders, Lindegren, Martin, Jacobsen, Charlotte, Neuenfeldt, Stefan, Jørgensen, Christian, Nilsson, P. Anders“…We traced the lipids, using fatty acid trophic markers (FATM), from the herring feeding grounds in the North Sea to the cod livers in the Western Baltic Sea. Time series analysis of population dynamics indicated that population‐level production of cod is positively affected by the herring subsidies. …”
Publicado 2016
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2007por Saldívar-Lucio, Romeo, Di Lorenzo, Emanuele, Nakamura, Miguel, Villalobos, Héctor, Lluch-Cota, Daniel, Del Monte-Luna, Pablo“…To this purpose we applied the min/max Autocorrelation Factor technique and time series analysis. We found that spatial co-variation of seawater vertical movements present three dominant low-frequency signals in the range of 33, 19 and 11 years, resembling periodicities of: atmospheric circulation, nodal moon tides and solar activity. …”
Publicado 2016
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2008por Ke, Guibao, Hu, Yao, Huang, Xin, Peng, Xuan, Lei, Min, Huang, Chaoli, Gu, Li, Xian, Ping, Yang, Dehua“…The STL model could be well performed in the seasonal analysis of HFRS in China, and ETS could be effectively used in the time series analysis of HFRS in China.…”
Publicado 2016
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2009“…The majority of cases (95.9%) were classified as mild envenomations. The time series analysis showed that a (5,1,0)×(0,1,1)(12) SARIMA model offered the best fit to the scorpion sting surveillance data. …”
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2010“…The framework consists of a data fusion method to produce a synthetic NDVI dataset at SPOT5’s spatial resolution and at MODIS’s temporal resolution and a phenology extraction algorithm based on NDVI time-series analysis. The feasibility of our phenology detection approach was evaluated at the county scale in Shandong Province, China. …”
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2011por Maltesen, Raluca Georgiana, Rasmussen, Bodil Steen, Pedersen, Shona, Hanifa, Munsoor Ali, Kucheryavskiy, Sergey, Kristensen, Søren Risom, Wimmer, Reinhard“…Prolonged surgical stress was linked to an augmented anaerobic environment. Time series analysis showed shifts in purine-, nicotinic acid-, tyrosine-, hyaluronic acid-, ketone-, fatty acid, and lipid metabolism. …”
Publicado 2017
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2012“…Fisher’s linear discriminant analysis method was employed to classify awake and drowsy states. Time series analysis was used to predict drowsiness. The oxy-hemoglobin concentration change and the beta band power in the frontal lobe were found to differ the most between the two states. …”
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2013por Rueda-Zárate, Héctor A., Imaz-Rosshandler, Iván, Cárdenas-Ovando, Roberto A., Castillo-Fernández, Juan E., Noguez-Monroy, Julieta, Rangel-Escareño, Claudia“…We combined machine learning algorithms with time series analysis to identify genes capable of classifying compounds by FDA-approved labeling as DILI-concern toxic. …”
Publicado 2017
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2014por Weymann, Deirdre, Laskin, Janessa, Roscoe, Robyn, Schrader, Kasmintan A., Chia, Stephen, Yip, Stephen, Cheung, Winson Y., Gelmon, Karen A., Karsan, Aly, Renouf, Daniel J., Marra, Marco, Regier, Dean A.“…We estimated mean WGA costs using bootstrapping. We applied time series analysis and produced 10‐year forecasts to determine when costs are expected to reach critical thresholds. …”
Publicado 2017
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2015por Mizzaci, Carolina Christianini, Souza, Thiago Gonçalves Schroder e, Targueta, Gabriel Pelegrineti, Tótora, Ana Paula Frederico, Mateos, Juan Carlos Pachón, Mateos, José Carlos Pachon“…Regarding the total number of pacemaker implants per year, there was a remarkable increase in the implants for all causes. However, time series analysis of the implants in Chagas disease patients younger than 18 years revealed a significant reduction in the annual number of implants. …”
Publicado 2017
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2016por Wang, Kaiwen, Zhong, Shuang, Wang, Xiaoye, Wang, Zhe, Yang, Lianping, Wang, Qiong, Wang, Suhan, Sheng, Rongrong, Ma, Rui, Lin, Shao, Liu, Wenyu, Zu, Rongqiang, Huang, Cunrui“…A change-point time-series analysis of weekly incidence for the period January 2010 to September 2016 was used to identify sensitive infectious diseases to the tornado; (3) Results: The 75 to 84 years old group was at the highest risk of both death (RR = 82.16; 95% CIs = 19.66, 343.33) and injury (RR = 31.80; 95% CI = 17.26, 58.61), and females were at 53% higher risk of death than males (RR = 1.53; 95% CIs = 1.02, 2.29). …”
Publicado 2017
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2017“…A readout function layer can then effectively analyze the projected features for tasks, such as classification and time-series analysis. The system can efficiently compute complex and temporal data with low-training cost, since only the readout function needs to be trained. …”
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2018“…In this study, we carried out time series analysis of data (2007–2010) from three tertiary care hospitals to provide empirical evidence of seasonality in disease occurrence and its association with temperature. …”
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2019Role of temperature in reported chickenpox cases in northern European countries: Denmark and Finlandpor Sumi, Ayako“…OBJECTIVE: In this study, we sought to explore the temperature-dependent transition of patterns of reported chickenpox cases in the northern European countries of Denmark and Finland to help determine the potential relationship with epidemiological factors of the disease. We performed time-series analysis consisting of a spectral analysis based on the maximum entropy method in the frequency domain and the nonlinear least squares method in the time domain, using the following time-series data: monthly data of reported chickenpox cases and mean temperatures in the pre-vaccination era for Denmark and Finland. …”
Publicado 2018
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2020“…In contrast to common time series analysis methods, mechanistic tracer transport models allow the analysis of interrupted time series. …”
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