
- 1,012 pages
- English
- PDF
- Available on iOS & Android
Time Series Modelling of Water Resources and Environmental Systems
About this book
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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Information
Table of contents
- Front Cover
- Time Series Modelling of Water Resources and Environmental Systems
- Copyright Page
- TABLE OF CONTENTS
- PART I: SCOPE AND BACKGROUND MATERIAL
- PART II: LINEAR NONSEASONAL MODELS
- PART III: MODEL CONSTRUCTION
- PART IV: FORECASTING AND SIMULATION
- PART V: LONG MEMORY MODELLING
- PART VI: SEASONAL MODELS
- PART VII: MULTIPLE INPUT - SINGLE OUTPUT MODELS
- PART VIII: INTERVENTION ANALYSIS
- PART IX: MULTIPLE INPUT-MULTIPLE OUTPUT MODELS
- PART X: HANDLING MESSY ENVIRONMENTAL DATA
- DATA APPENDIX
- AUTHOR INDEX
- SUBJECT INDEX