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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
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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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Estadística matemática
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Filosofía
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Pronóstico de los negocios
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Psicología
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R (Lenguaje de programación)
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Serie cronológica
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Visualización de la información
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1901“…We projected the trend for the period 2011–2020 using a time series analysis (autoregressive integrated moving average models). …”
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1902“…Such a process is fundamental to time-series analysis in biological and artificial information processing systems. …”
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1903por Zahirul Islam, Mohammad, Rutherford, Shannon, Phung, Dung, Uzzaman, Md. Nazim, Baum, Scott, Huda, M. Mamun, Asaduzzaman, Muhammad, Talukder, Mohammad Radwanur Rahman, Chu, Cordia“…We aimed to assess the correlation of temperature, humidity, and rainfall on dengue fever in two dengue endemic cities in Bangladesh. It was a time series analysis of climate factors and dengue occurrence data in Dhaka and Chittagong cities from 1 January 2000 to 31 December 2009. …”
Publicado 2018
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1904por Su, Dai, Chen, Yingchun, Gao, Hongxia, Li, Haomiao, Chang, Jingjing, Lei, Shihan, Jiang, Di, Hu, Xiaomei, Tan, Min, Chen, Zhifang“…This study aimed to evaluate the effects of the differences between two typical payment methods for the new rural cooperative medical scheme (NRCMS) in China on the utilisation of inpatient services. Interrupted time-series analysis (ITSA) and propensity score matching (PSM) were used to measure the difference between two typical payment methods for the NRCMS with regard to the utilisation of inpatient services. …”
Publicado 2019
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1905“…We used an interrupted time series analysis with the Massachusetts All-Payer Claims Database (2009–2012) to assess changes in trends in costs and use of breast, cervical and colorectal cancer screenings after the ACA policy. …”
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1906por Farrar, Daniel S, Awasthi, Shally, Fadel, Shaza A, Kumar, Rajesh, Sinha, Anju, Fu, Sze Hang, Wahl, Brian, Morris, Shaun K, Jha, Prabhat“…Control of pneumonia and diarrhea mortality in India requires understanding of their etiologies. We combined time series analysis of seasonality, climate region, and clinical syndromes from 243,000 verbal autopsies in the nationally representative Million Death Study. …”
Publicado 2019
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1907por Shi, Min, Chen, Beibei, Gong, Huili, Li, Xiaojuan, Chen, Wenfeng, Gao, Mingliang, Zhou, Chaofan, Lei, Kunchao“…In this study, we analyzed the Beijing–Tianjin Intercity Railway (BTIR) track using InSAR time-series analysis with different data sets. First, by using RADARSAT-2 images, we examined the areas along the BTIR with significant subsidence. …”
Publicado 2019
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1908por Romer, Daniel“…Bridge et al. recently presented a time series analysis of suicide rates in the US following the release of the 2017 Netflix series “13 Reasons Why.” …”
Publicado 2020
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1909“…We used RNA‐sequencing and photographic time series analysis to detect possible conflict‐induced plastic differences between wild D. discoideum aggregates formed by single strains compared with mixed pairs of strains (chimeras). …”
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1910“…In this paper, we propose a novel time series analysis technique that allows for multiple different transition matrices depending on the data’s contextual realisations all following shared adaptive observational models that govern the global distribution of the data given a latent sequence. …”
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1911“…Determining the dynamics of salt marsh change with remote sensing requires high temporal resolution due to the spectral variability caused by disturbance, tides, and seasonality. Time series analysis of salt marshes can broaden our understanding of these changing environments. …”
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1912por Korcinska, M. R., Dalsgaard Bjerre, K., Dam Rasmussen, L., Tvenstrup Jensen, E., Fischer, T. K., Barrasa, A., Ethelberg, S.“…We defined positive patient-episodes by using a 30-day time window and performed descriptive and time series analysis. Diagnostic methods used were assessed through a survey. …”
Publicado 2020
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1913“…This pre-registered study uses data from the first seven waves (2009–2015) of the New Zealand Attitudes and Values Study—a longitudinal national probability study of social attitudes, personality, and health outcomes—with multilevel interrupted time series analysis. Respondents’ belief in the reality and causes of climate change, sacrifices to standard of living to protect the environment, and changes in daily routine to protect the environment did not change significantly following the birth of a child; and nor were there changes in the underlying trends of attitudes or pre-birth anticipation effects. …”
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1914“…We used the non-linear method of time series analysis based on the recurrences of states, to verify whether functional connectivity configurations assessed with recurrence method will qualitatively distinguish patients from a healthy subject, but also differentiate patients from each other. …”
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1915por Seh, Adil Hussain, Zarour, Mohammad, Alenezi, Mamdouh, Sarkar, Amal Krishna, Agrawal, Alka, Kumar, Rajeev, Ahmad Khan, Raees“…Addressing this anomaly, the present study employs the simple moving average method and the simple exponential soothing method of time series analysis to examine the trend of healthcare data breaches and their cost. …”
Publicado 2020
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1916por Gonçalves-Macedo, Liana, Lacerda, Eliana Mattos, Markman-Filho, Brivaldo, Lundgren, Fernando Luiz Cavalcanti, Luna, Carlos Feitosa“…METHODS: This was a population-based study with a time-series analysis of cause-specific morbidity and mortality data for individuals ≥ 40 years of age, obtained from national health information systems for the 2000-2016 period. …”
Publicado 2019
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1917“…Ordinal patterns are the common basis of various techniques used in the study of dynamical systems and nonlinear time series analysis. The present article focusses on the computational problem of turning time series into sequences of ordinal patterns. …”
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1918por Subhash, Ajith K., Maldonado, David R., Kajikawa, Trent M., Chen, Sarah L., Stavrakis, Alexandra, Photopoulos, Christos“…METHODS: The Google Trends analysis tool (Google Search Volume Indices [GSVI]) was used to collect search information regarding orthopaedic sports medicine terms (“ACL,” “meniscus,” “rotator cuff”) and sports surgery terms (“ACL surgery,” “meniscus surgery,” “rotator cuff surgery”) from May 2015 to May 2020. A time series analysis was performed for these GSVIs and compared to the timing of the pandemic. …”
Publicado 2020
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1919por Dansana, Debabrata, Kumar, Raghvendra, Das Adhikari, Janmejoy, Mohapatra, Mans, Sharma, Rohit, Priyadarshini, Ishaani, Le, Dac-Nhuong“…The proposed model uses time series analysis to forecast the outbreak of COVID-19 around the world in the upcoming days by using an autoregressive integrated moving average (ARIMA). …”
Publicado 2020
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1920“…ABSTRACT: We aimed to evaluate the accuracy of deterministic and stochastic statistical models by means of a protocol developed in a free programming environment for monthly time-series analysis of the incidence of confirmed dengue cases in the states and federal district of Brazil from January 2000 to December 2017. …”
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