TY  - BOOK
AU  - Hipel,Keith W.
AU  - McLeod,A.Ian
ED  - ScienceDirect eBooks.
TI  - Time series modelling of water resources and environmental systems
T2  - Developments in water science
SN  - 9780444892706
AV  - GE40 .H57 1994eb
PY  - 1994///
KW  - Environmental sciences
KW  - Mathematical models
KW  - Hydrology
KW  - Time-series analysis
KW  - Sciences de l'environnement
KW  - Modèles mathématiques
KW  - Hydrologie
KW  - Série chronologique
KW  - SCIENCE
KW  - Environmental Science (see also Chemistry
KW  - Environmental)
KW  - bisacsh
KW  - POLITICAL SCIENCE
KW  - Public Policy
KW  - Environmental Policy
KW  - fast
KW  - Environnement
KW  - ram
KW  - Statistiques
KW  - Ressources en eau
KW  - Natural resources
KW  - Water
KW  - Electronic books
KW  - local
N1  - Includes bibliographical references and indexes; Front Cover; Time Series Modelling of Water Resources and Environmental Systems; Copyright Page; TABLE OF CONTENTS; PART I: SCOPE AND BACKGROUND MATERIAL; CHAPTER 1. ENVIRONMETRICS, SCIENCE AND DECISION MAKING; CHAPTER 2. BASIC STATISTICAL CONCEPTS; PART II: LINEAR NONSEASONAL MODELS; CHAPTER 3. STATIONARY NONSEASONAL MODELS; CHAPTER 4. NONSTATIONARY NONSEASONAL MODELS; PART III: MODEL CONSTRUCTION; CHAPTER 5. MODEL IDENTIFICATION; CHAPTER 6. PARAMETER ESTIMATION; CHAPTER 7. DIAGNOSTIC CHECKING; PART IV: FORECASTING AND SIMULATION; CHAPTER 8. FORECASTING WITH NONSEASONAL MODELS; Electronic reproduction; [S.l.]; HathiTrust Digital Library; 2010
N2  - 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
UR  - http://ezproxy.alfaisal.edu/login?url=https://www.sciencedirect.com/science/bookseries/01675648/45
ER  -