“…Statistical techniques covered side by side from both frequentist and Bayesian approaches include hypothesis testing, replication, analysis of variance, calculation of effect sizes, regression, time series analysis, and more. Students also get a complete introduction to the open-source R programming language and its key packages. …”
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“…The focus is on nonstationary processes, and statistical ensembles are emphasized in time series analysis. Stochastic calculus is developed using general martingales. …”
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“…Divided into four parts, the text offers insight into the following models and topics, among others: • Multiple linear regression • Time-series analysis • Option pricing models • Risk management • Heteroskedasticity • Itô’s Calculus • Spurious regression • Errors-in-variable Written by leading academics in the quantitative finance field, this book allows readers to implement the principles behind financial econometrics and statistics through real-world applications and problem sets. …”
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“…In response to the spread of colistin resistance gene mcr-1, China banned the use of colistin in livestock fodders. We used a time-series analysis of inpatient colonization data from 2011–2019 to accurately reveal the associated fluctuations of mcr-1 that occurred in inpatients in response to the ban.…”
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“…Chapters cover basic probability, correlation analysis, hypothesis testing, Bayesian modelling, time series analysis, luminosity functions and clustering. …”
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“…This volume is comprised of a collection of contributions by leading experts in system identification, time-series analysis, environmetric modelling and control system design – modern research in topics that reflect important areas of interest in Professor Young’s research career. …”
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“…The focus is both on the fundamentals of mathematical finance and financial time series analysis, and on applications to given problems concerning financial markets, thus making the book the ideal basis for lectures, seminars and crash courses on the topic. …”
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“…Among the book chapters there are excellent examples of the use of SOMs in agriculture, computer science, data visualization, health systems, economics, engineering, social sciences, text and image analysis, and time series analysis. Other chapters present the latest theoretical work on SOMs as well as Learning Vector Quantization (LVQ) methods.…”
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“…The book is of interest to an interdisciplinary audience of recurrence plot users and researchers interested in time series analysis in particular, and in complex systems in general.…”
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“…Addressing the needs of theoretical and applied researchers alike, the contributions provide an overview of the latest advances and trends in the areas of mathematical statistics and applied probability, and their applications to high-dimensional statistics, econometrics and time series analysis, statistics for stochastic processes, statistical machine learning, big data and data science, random matrix theory, quality control, change-point analysis and detection, finance, copulas, survival analysis and reliability, sequential experiments, empirical processes, and microsimulations. …”
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“…This study uses time series analysis methods for outliers’ detection and pattern recognition on soil moisture sensor data to identify irrigation and consumption patterns and to improve a soil moisture prediction and irrigation system. …”
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“…Additionally, this dataset can be used for research in time series analysis.…”
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“…METHODS: Using data from the Brazilian Ministry of Health, we conducted an interrupted time series analysis to estimate the impact of lockdown on the number of daily cases of COVID-19 in Araraquara, São Paulo. …”
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“…To our best knowledge, for the first time, the roughness of severe geomagnetic storms is considered by using a monofractal time series analysis of the Earth electric field. We show that during severe geomagnetic storms the Katz fractal dimension of the geoelectric field grows rapidly.…”
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“…The effectiveness of the system was evaluated using interrupted time series analysis. In the system, a monitoring and alert rule library for infectious diseases was generated by combining infectious disease diagnosis guidelines with literature and a real medical record knowledge map. …”
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“…Shewhart charts were used to conduct a time-series analysis. Additionally, the Z-test for two sample proportions was used to determine if there is a statistically significant change from the baseline measure with a p<0.05. …”
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“…Outpatient visits and inpatient stays for all cohort members were extracted from the Corporate Data Warehouse. Interrupted time series analysis (ITSA) was used to test for healthcare interruption around the date of COVID-19 restriction implementation (end of March 2020 or on 2020 week 15). …”
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“…Using Hong Kong’s standard life-expectancy values resulted in an overall increase of SEYLL by 10.8% as compared to the baseline SEYLL. Time-series analysis indicates an overall increase of SEYLL by 6.4%. …”
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“…We also performed a time series analysis to examine the impact of the accreditation requirement on rates of unintentional medication discontinuation. …”
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“…The objective of this study was to model the patterns of road traffic accidents leading to injury in Kurdistan province, Iran. METHODS: A time-series analysis was conducted to characterize and predict the frequency of road traffic accidents that lead to injury in Kurdistan province. …”
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