Astronomical Time Series


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Applications of Time Series Analysis in Astronomy and Meteorology


Applications of Time Series Analysis in Astronomy and Meteorology

Author: T. Subba Rao

language: en

Publisher: Chapman and Hall/CRC

Release Date: 1997


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Very Good,No Highlights or Markup,all pages are intact.

Theory and Applications of Time Series Analysis


Theory and Applications of Time Series Analysis

Author: Olga Valenzuela

language: en

Publisher: Springer Nature

Release Date: 2023-11-09


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This book presents the latest developments in the theory and applications of time series analysis and forecasting. Comprising a selection of refereed papers, it is divided into several parts that address modern theoretical aspects of time series analysis, forecasting and prediction, with applications to various disciplines, including econometrics and energy research. The broad range of topics discussed, including matters of particular relevance for sustainable development, will give readers a modern perspective on the subject. The included contributions were originally presented at the 8th International Conference on Time Series and Forecasting, ITISE 2022, held in Gran Canaria, Spain, June 27-30, 2022. The ITISE conference series provides a forum for scientists, engineers, educators and students to discuss the latest advances and implementations in the foundations, theory, models and applications of time series analysis and forecasting. It focuses on interdisciplinary research encompassing computer science, mathematics, statistics and econometrics.

Knowledge Discovery in Big Data from Astronomy and Earth Observation


Knowledge Discovery in Big Data from Astronomy and Earth Observation

Author: Petr Skoda

language: en

Publisher: Elsevier

Release Date: 2020-04-09


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Knowledge Discovery in Big Data from Astronomy and Earth Observation: Astrogeoinformatics bridges the gap between astronomy and geoscience in the context of applications, techniques and key principles of big data. Machine learning and parallel computing are increasingly becoming cross-disciplinary as the phenomena of Big Data is becoming common place. This book provides insight into the common workflows and data science tools used for big data in astronomy and geoscience. After establishing similarity in data gathering, pre-processing and handling, the data science aspects are illustrated in the context of both fields. Software, hardware and algorithms of big data are addressed. Finally, the book offers insight into the emerging science which combines data and expertise from both fields in studying the effect of cosmos on the earth and its inhabitants.