9780444892706-0444892702-Time Series Modelling of Water Resources and Environmental Systems (Volume 45) (Developments in Water Science, Volume 45)

Time Series Modelling of Water Resources and Environmental Systems (Volume 45) (Developments in Water Science, Volume 45)

ISBN-13: 9780444892706
ISBN-10: 0444892702
Author: K.W. Hipel, A.I McLeod
Publication date: 1994
Publisher: Elsevier Science
Format: Hardcover 1012 pages
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Book details

ISBN-13: 9780444892706
ISBN-10: 0444892702
Author: K.W. Hipel, A.I McLeod
Publication date: 1994
Publisher: Elsevier Science
Format: Hardcover 1012 pages

Summary

Time Series Modelling of Water Resources and Environmental Systems (Volume 45) (Developments in Water Science, Volume 45) (ISBN-13: 9780444892706 and ISBN-10: 0444892702), written by authors K.W. Hipel, A.I McLeod, was published by Elsevier Science in 1994. With an overall rating of 3.9 stars, it's a notable title among other books. You can easily purchase or rent Time Series Modelling of Water Resources and Environmental Systems (Volume 45) (Developments in Water Science, Volume 45) (Hardcover) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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 met
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