＜E-Book＞
Theory and Applications of Time Series Analysis : Selected Contributions from ITISE 2022 / edited by Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas
(Contributions to Statistics. ISSN:26288966)
| Edition | 1st ed. 2023. |
|---|---|
| Publisher | (Cham : Springer Nature Switzerland : Imprint: Springer) |
| Year | 2023 |
| Language | English |
| Size | XII, 236 p. 55 illus., 42 illus. in color : online resource |
| Authors | Valenzuela, Olga editor Rojas, Fernando editor Herrera, Luis Javier editor Pomares, Héctor editor Rojas, Ignacio editor SpringerLink (Online service) |
| Subjects | LCSH:Time-series analysis LCSH:Econometrics LCSH:Statistics LCSH:Computer science -- Mathematics All Subject Search LCSH:Mathematical statistics FREE:Time Series Analysis FREE:Econometrics FREE:Statistics in Business, Management, Economics, Finance, Insurance FREE:Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences FREE:Applied Statistics FREE:Probability and Statistics in Computer Science |
| Notes | Theoretical Aspects of Time Series -- Econometrics -- Time Series Analysis Applications -- Time Series Forecasting -- Time Series Forecasting 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. HTTP:URL=https://doi.org/10.1007/978-3-031-40209-8 |
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| E-Book | Location | Media type | Volume | Call No. | Status | Reserve | Comments | ISBN | Printed | Restriction | Designated Book | Barcode No. |
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| E-Book | オンライン | 電子ブック |
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Springer eBooks | 9783031402098 |
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電子リソース |
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EB00238219 |