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Análisis de series de tiempo
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Métodos estadísticos
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Análisis de series cronológicas
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Modelos matemáticos
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Ciencias sociales
2
Meteorología
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Procesamiento de datos
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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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Comportamiento caótico en sistemas
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Congresos
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R (Lenguaje de programación)
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Visualización de la información
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1961“…Gini coefficient data were obtained from the World Development Indicators. Time series analysis was performed on Brazilian and American official data regarding the number of deaths caused by suicide between 2000 and 2013 and the Gini coefficients of the two countries. …”
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1962“…A well-known Deep Learning method for time series analysis, namely, the Long Short-Term Memory (LSTM) networks, is applied as the prediction method. …”
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1963por Brandt, Siegmund“…Minimization.Analysis of Variance. Time series analysis.Audience The book is conceived both as an introduction and as a work of reference. …”
Publicado 2014
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1964por Nonboe, Mette Hartmann, Napolitano, George, Schroll, Jeppe Bennekou, Vejborg, Ilse, Waldstrøm, Marianne, Lynge, Elsebeth“…To investigate possible changes in cancer screening activity due to the COVID-19 pandemic, we analysed data from the beginning of 2017 until the end of 2021. A time series analysis was carried out to discover possible trends and outliers in the screening activities in the period 2017–2021. …”
Publicado 2023
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1965“…To conceptualize the time series analysis of the suggested dynamics, we propose utilizing a numerical approach. …”
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1966Changes in buprenorphine visits in frontier and remote locations: Effects of the SARS-CoV-2 pandemicpor McFadden, Lisa M.“…The USDA defines frontier as communities that are small and distant from urban centers. Time series analysis was utilized to understand changes in weekly visits during this period. …”
Publicado 2023
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1967por Behzadi Goodari, Mohsen, Sharifi, Hamid, Dehesh, Paria, Mosleh-Shirazi, Mohammad Amin, Dehesh, Tania“…The findings demonstrate that including factors regarding humans, vehicles, and elements of nature in the time-series analysis of accident records resulted in the development of a more reliable prediction model than utilizing only aggregated accident count. …”
Publicado 2023
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1968por Khan, Muhammad Imran, Qureshi, Humera, Bae, Suk Joo, Khattak, Aamer Ali, Anwar, Muhammad Shahid, Ahmad, Sadique, Hassan, Fazal, Ahmad, Shabir“…Meta-analysis was computed using R 4.1.2 Version statistical software. I(2) and time series analysis were performed to identify a possible source of heterogeneity across studies. …”
Publicado 2023
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1969“…Injuries were more common on weekends versus weekdays (p = 0.01). Time series analysis showed a summer seasonality trend. Localizing injury events to ZIP codes showed regional injury density patterns. …”
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1970“…MATERIAL AND METHODS: Using interrupted time series analysis (ITSA), data from the Federal Statistical Office on case numbers and length of stay of patients with epilepsy in Germany were statistically analyzed for significant trend changes and their timing. …”
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1971“…Employing techniques of time series analysis, there is no evidence for dividend signaling and clear evidence for dividend smoothing in the European pharmaceutical industry. …”
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1972por Schurch, Roger, Munoz, Osvaldo, Ardila-Rey, Jorge, Donoso, Pablo, Peesapati, Vidyadhar“…Phase-resolved PD (PRPD) and pulse sequence analysis (PSA) identified tree crossing; however, they were more sensible to the AC excitation voltage amplitude and frequency. Nonlinear time series analysis (NLTSA) characteristics were evaluated through the correlation dimension, showing a reduction from pre- to post-crossing, and thus representing a change to a less complex dynamical system. …”
Publicado 2023
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1973“…We applied SARIMA time-series analysis. Survey data were used to construct an indicator of heavy SES-specific episodic drinking. …”
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1974“…METHODS: The study first utilized interrupted time series analysis to analyze medical records and insurance data from eight hospitals. …”
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1975por Sun, Jianqiang, Okada, Moeko, Tameshige, Toshiaki, Shimizu-Inatsugi, Rie, Akiyama, Reiko, Nagano, Atsushi J, Sese, Jun, Shimizu, Kentaro K“…Yet, cost-efficient RNA sequencing (RNA-seq) is to be developed for large-scale transcriptomic studies such as time-series analysis and genome-wide association studies in allopolyploids. …”
Publicado 2023
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1976por Zaky, Ahmed, Melvin, Ryan L., Benz, David, Davies, James, Panayotis, Vardas, Maddox, William, Shah, Ruchit, Lynch, Tom, Beck, Adam, Hearld, Kristine, McElderry, Tom, Treggiari, Miriam“…Methods: A total of 830 patients presented in the pre-implementation period from 1 March 2016 to 31 December 2017, and 1981 patients presented in the post-implementation period from 1 January 2018 to 31 October 2021. Interrupted time-series analysis for single-group comparisons was used to evaluate the cost savings resulting from reduction in operating room (OR) start delays for patients with CIEDs. …”
Publicado 2023
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1977por Pathan, Refat Khan, Uddin, Mohammad Amaz, Paul, Ananda Mohan, Uddin, Md. Imtiaz, Hamd, Zuhal Y., Aljuaid, Hanan, Khandaker, Mayeen Uddin“…The LSTM model shows “Root Mean Square Error” (RMSE) values of 0.09 and 0.08 for testing and training, respectively. Using this time series analysis method, the prospective mutation rate of the 50(th) patient has been predicted. …”
Publicado 2023
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1978por Costa, Elisa Miranda, Magalhães Rodrigues, Elisa Santos, de Sousa, Francenilde Silva, Pimentel, Felipe Bezerra, Sodré Lopes, Mariana Borges, Vissoci, João Ricardo Nickenig, Thomaz, Erika Barbara Abreu Fonseca“…METHOD: This is an ecological study with secondary oral cancer death data, using interrupted time series analysis (ARIMA, Autoregressive Integrated Moving Average). …”
Publicado 2023
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1979por Balta, Marianna, Katsas, Konstantinos, Grigoropoulou, Chrysoula, Diamantis, Dimitrios V., Kalogiannis, Dimitrios, Drougos, Nikolaos, Fagogeni, Eleni, Veloudaki, Afroditi, Panagiotakos, Demosthenes, Linos, Athena“…Older adults who participated in the interconnection part completed baseline (n = 275) and follow-up questionnaires (n = 168), including the UCLA Loneliness Scale. A time-series analysis revealed a positive association in the number of calls with COVID-19 cases (Incidence Rate Ratio per 100 new COVID-19 cases = 1.012; Confidence Interval (95% CI) [1.002, 1.022]). …”
Publicado 2023
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1980“…The analysis covered the 60 days before the awareness day, the awareness day itself, and the 60 days afterward. Time series analysis was conducted using joinpoint regression to identify significant changes in OHISB trends. …”
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