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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
2
Procesamiento de datos
2
Sistemas de control por retroalimentación
2
Teoría de la predicción
2
Análisis de regresión
1
Análisis multivariante
1
Astronomía estadística
1
Biología
1
Biometría
1
Comportamiento caótico en sistemas
1
Congresos
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Estadística matemática
1
Filosofía
1
Ingeniería
1
Investigación cuantitativa
1
Procesamiento electrónico de datos
1
Pronóstico de la economía
1
Pronóstico de los negocios
1
Psicología
1
R (Lenguaje de programación)
1
Serie cronológica
1
Sistemas no lineales
1
Teoría bayesiana de decisiones estadísticas
1
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Visualización de la información
1
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2221“…In view of the accuracy of BDS positioning, there are no systematic differences between GPS and BDS results. Based on time series analysis with data volume being 2.5 years, the noise characteristics of BDS daily position time series is time-correlated and corresponding noise is white plus flicker noise model, and the derived mean RMS of the BDS velocities is 1.2, 1.5, and 4.1 mm/year on north, east, and up components, respectively. …”
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2222“…The proportion of patients exposed to coprescribing was estimated for semi-annual changes, using a time-series analysis and for hospital variations, using an interquartile range (IQR). …”
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2223“…We established a field transcriptome using a typical masting species, Japanese beech (Fagus crenata Blume), over two years, and analyzed the data using a nonlinear time-series analysis called convergent cross mapping. Our field transcriptome was found to undergo numerous changes depending on the status of floral induction and season. …”
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2224por Xue, Qiaofeng, Jin, Xiaobin, Cheng, Yinong, Yang, Xuhong, Jia, Xin, Zhou, Yinkang“…We conducted a time series analysis primarily based on factors such as wars, garrisons, economy, and natural disasters. …”
Publicado 2019
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2225por Lawman, Hannah G., Bleich, Sara N., Yan, Jiali, LeVasseur, Michael T., Mitra, Nandita, Roberto, Christina A.“…METHODS: Data were obtained from the Pennsylvania Department of Labor. Interrupted time series analysis was used to determine if there was a change in new monthly unemployment claims filings post-tax implementation in Philadelphia compared to surrounding counties in supermarkets, select potentially affected industries, and in total claims filings across all industries combined. …”
Publicado 2019
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2226“…RESEARCH DESIGN AND METHODS: We performed statistical analysis using group comparisons and time series analysis of data of the Austrian Stroke Unit Registry between 2005 and 2016. 87411 patients were divided into three groups (rural, intermediate, urban) according to the degree of urbanisation classification of the European Commission/Eurostat. …”
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2227“…Results demonstrated that PM(2.5) concentration in most provinces of China increased rapidly along with the increase of socioeconomic factors, while PM(2.5) presented a slow growth trend in Southwest China and a descending trend in Northwest China along with the increase of socioeconomic factors. Long time series analysis revealed the relationships between PM(2.5) concentration and four socioeconomic factors. …”
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2228por Cui, Zhezhe, Lin, Dingwen, Chongsuvivatwong, Virasakdi, Zhao, Jinming, Lin, Mei, Ou, Jing, Zhao, Jinghua“…METHODS: We performed a spatiotemporal analysis with prediction using time series analysis, Moran’s I global and local spatial autocorrelation statistics, and space-time scan statistics to detect temporal and spatial clusters of tuberculosis notifications in Guangxi between 2010 and 2016. …”
Publicado 2019
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2229por Achilleos, Souzana, Al-Ozairi, Ebaa, Alahmad, Barrak, Garshick, Eric, Neophytou, Andreas M., Bouhamra, Walid, Yassin, Mohamed F., Koutrakis, Petros“…METHODS: We conducted a time-series analysis using daily visibility as a measure of particulate pollution and non-accidental total mortality from January 2000 through December 2016. …”
Publicado 2019
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2230por Krishna, Aditi, Mejía‐Guevara, Iván, McGovern, Mark, Aguayo, Víctor M., Subramanian, S. V.“…We analysed socio‐economic inequalities in stunting in South Asia and investigated disparities associated with factors at the individual, caregiver, and household levels (poor dietary diversity, low maternal education, and household poverty). We used time‐series analysis of data from 55,459 children ages 6–23 months from Demographic and Health Surveys in Bangladesh, India, Nepal, and Pakistan (1991–2014). …”
Publicado 2017
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2231por Sorensen, Lyle, Idemoto, Lori, Streifel, Janet, Williams, Barbara, Mecklenburg, Robert, Blackmore, Craig“…We evaluated the intervention through run charts and time series analysis for 2005–2014. Outcomes included length of stay (LOS), 30-day readmission, discharge disposition, postsurgical complications and patient satisfaction. …”
Publicado 2019
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2232“…On top of these trends time series analysis (ARIMA) showed that the abrupt rise in co-payments from 2012 onwards coincided with significant increases in stand-alone treatment with antipsychotic medication and acute psychiatric care. …”
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2233por Sivey, Peter, McAllister, Richard, Vally, Hassan, Burgess, Anna, Kelly, Anne-Maree“…DESIGN AND SETTING: Descriptive time-series analysis and longitudinal regression analysis of data from the Victorian Emergency Minimum Dataset (VEMD) using data from the 38 EDs that submit data to the state’s Department of Health and Human Services. …”
Publicado 2019
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2234por Hedenmalm, Karin, Blake, Kevin, Donegan, Katherine, Macia, Miguel‐Angel, Gil, Miguel, Williams, Julie, Montero, Dolores, Candore, Gianmario, Morales, Daniel, Kurz, Xavier, Arlett, Peter“…Between January 2010 and June 2015, prevalence of codeine prescribing was obtained every 6 months, and a time series analysis (joinpoint) was performed. Codeine prescribing within ±30 days of TA was also identified. …”
Publicado 2019
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2235por Kim, Yong Chan, Kim, Eun Jin, Heo, Jung Yeon, Choi, Young Hwa, Ahn, Jin Young, Jeong, Su Jin, Ku, Nam Su, Choi, Jun Yong, Yeom, Joon-sup, Kim, Ha Yan“…We used an interrupted time series analysis to evaluate longitudinal effects of the IDS-led ASP on the amount of antibiotic use and incidence of multidrug-resistant organism (MDRO) acquisition. …”
Publicado 2019
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2236por Araújo, Fernando Antônio Glasner da Rocha, Sumita, Nairo Massakazu, Barroso, Ubirajara de Oliveira“…The general PSA screening trend during this period, adjusted for the total number of exams performed in men, was analyzed. Time-series analysis was performed through observation of the general regression curve using the generalized least squares method, and the impact of the recommendations was assessed with autoregressive integrated moving average (ARIMA) models. …”
Publicado 2019
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2237“…The out-of-pocket (OOP) expenses and reimbursement ratio (RR) were the two main outcome variables. Interrupted time series analysis with a segmented regression approach was adopted. …”
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2238“…METHOD: Secondary analysis of routinely collected data with lagged time series analysis. We focused on two main types of forensic detentions in National Health Service (NHS) hospitals and private units: prison transfers and court treatment orders in England from 1984 to 2016. …”
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2239por Rafiemanesh, Hosein, Alimohamadi, Yousef, Hashemi Aghdam, Seyed Rasoul, Safarzadeh, Avaz, Shokri, Abolghasem, Zemestani, Alireza“…Conclusion: Based-on time series analysis, the number of new cases in the future years has fixed trend and the most number of incident cases will be occurred between third to fifth months in each years.…”
Publicado 2019
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2240“…Since data from multiple sources (such as dengue and ILI case counts, electronic health records and frequency of multiple internet search terms from Google Trends) can improve forecasts, standard time series analysis methods are inadequate to estimate all the parameter values from the limited amount of data available if we use multiple sources. …”
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