Time Series Modelling of Water Resources and Environmental Systems

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Elsevier, Apr 7, 1994 - Science - 1012 pages
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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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Contents

SCOPE AND BACKGROUND MATERIAL
1
LINEAR NONSEASONAL MODELS
87
MODEL CONSTRUCTION
171
FORECASTING AND SIMULATION
255
LONG MEMORY MODELLING
325
SEASONAL MODELS
415
MULTIPLE INPUT SINGLE OUTPUT MODELS
553
INTERVENTION ANALYSIS
653
MULTIPLE INPUTMULTIPLE OUTPUT MODELS
739
HANDLING MESSY ENVIRONMENTAL DATA
807
DATA APPENDIX
979
AUTHOR INDEX
989
SUBJECT INDEX
1001
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