Time series modelling of water resources and environmental systems /
This is a comprehensive presentation of the theory and practice of time series modelling of environmental systems. A variety of time series models are explained and illustrated, including ARMA (autoregressive-moving average), nonstationary, long memory, three families of seasonal, multiple input-sin...
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| Format: | eBook |
| Language: | English |
| Published: |
Amsterdam ; New York :
Elsevier,
1994.
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| Series: | Developments in water science ;
45. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | This is a comprehensive presentation of the theory and practice of time series modelling of environmental systems. A variety of time series models are explained and illustrated, including ARMA (autoregressive-moving average), nonstationary, long memory, three families of seasonal, multiple input-single output, intervention and multivariate ARMA models. Other topics in environmetrics covered in this book include time series analysis in decision making, estimating missing observations, simulation, the Hurst phenomenon, forecasting experiments and causality. Professionals working in fields overlapping with environmetrics - such as water resources engineers, environmental scientists, hydrologists, geophysicists, geographers, earth scientists and planners - will find this book a valuable resource. Equally, environmetrics, systems scientists, economists, mechanical engineers, chemical engineers, and management scientists will find the time series methods presented in this book useful. |
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| Physical Description: | 1 online resource (xxxvii, 1013 pages) : illustrations |
| Format: | Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. |
| Bibliography: | Includes bibliographical references and indexes. |
| ISBN: | 9780444892706 0444892702 9780080870366 0080870368 1281778737 9781281778734 |