Time Series Methods in Hydrosciences

Name: Time Series Methods in Hydrosciences
Brand: Elsevier
Price: 54.95 EUR
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El-Shaarawi(Author)

A. H. El-Shaarawi S. R. Esterby(Editor)

Elsevier (Publisher)

Published on 1. January 1982

625 pages

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978-0-08-087008-3 (ISBN)

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Front Cover
Time Series Methods in Hydrosciences
Copyright Page
CONTENTS
Foreword
Chapter 1. Some Contrasting Examples of the Time and Frequency Domain Approaches to Time Series Analysis
Chapter 2. Detection of Interventions at Unknown Times
Chapter 3. Distribution of Partial Sums with Applications to Dam Capacity and Acid Rain
Chapter 4. Testing for Non-Linear Shiftsin Stationary F-Mixing Processes
Chapter 5. A Robust Statistic for Testing that two Autocorrelated Samples come from Identical Populations
Chapter 6. Inference about the Point of Change in a Regression Model with a Stationary Error Process
Chapter 7. The Change-Point Problem for a Sequence of Binomial Random Variables
Chapter 8. Exploration of an Extreme Value Partial Time Series Model in Hydroscience
Chapter 9. A Comparative Study on Estimation of Parameters of a Markovian Process - I
Chapter 10. Generalized Least Squares Procedure for Regression with Autocorrelated Errors
Chapter 11. Fitting Dynamic Models to Hydrological Time Series
Chapter 12. Some Aspects of Non-Stationary Behaviour in Hydrology
Chapter 13. Persistence Estimation from a Time-Series Containing Occasional Missing Data
Chapter 14. Tidal Analysis - A Retrospect
Chapter 15. Identification of Internal Tides in Tidal Current Records from the Middle Estuary of the St. Lawrence
Chapter 16. Simulation of the Low Frequency Portion of the Sea Level Signal at Yarmouth, Nova Scotia
Chapter 17. The Computation of Tides from Irregularly Sampled Sea Surface Height Data
Chapter 18. On Stochastic Modelling of Hydrologic Data
Chapter 19. A Dynamic-Stochastic Approach for Modelling Advection-Dispersion Processes in Open Channels
Chapter 20. The Mean and Variance of Water Currents Induced by Irregular Surface Waves
Chapter 21. Generation of Weekly Streamflow Data for the River Danube-River Main-System
Chapter 22. Probabilistic Characterization of Point and Mean Areal Rainfalls
Chapter 23. A Rainfall-Runoff Model for Daily Flow Synthesis
Chapter 24. Analysis of Flood Series by Stochastic Models
Chapter 25. A Model for Simulating Dry and Wet Periods of Annual Flow Series
Chapter 26. A Combined Snowmelt and Rainfall Runoff
Chapter 27. Analysis of Current Meter Data for Predicting Pollutant Dispersion
Chapter 28. Should We Search for Periodicities in Annual Runoff Again?
Chapter 29. Step Ahead Streamflow Forecasting Using Pattern Analysis
Chapter 30. Walsh Solutionsin Hydroscience
Chapter 31. Modelling the Errorin Flood Discharge Measurements
Chapter 32. Information Theoretical Characteristics of some Statistical Models in the Hydrosciences
Chapter 33. Validation of Synthetic Streamflow Models
Chapter 34. Observation and Simulation of the Sooke Harbour System
Chapter 35. Rainfall - Flow Relationship in Some Italian Rivers by Multiple Stochastic Models
Chapter 36. Analysis of Water Temperature Records Using a Deterministic - Stochastic Model
Chapter 37. Stochastic ARIMA Models for Monthly Stream flows
Chapter 38. The Linear Reservoir with Seasonal Gamma-Distributed Markovian Inflows
Chapter 39. On The Storage Size-Demand-Reliability Relations
Chapter 40. Optimal ARMA Models for the Statistical Analysis of Reservoir Operating Rules
Chapter 41. An Annual-Monthly Streamflow Model for Incorporating Parameter Uncertainty into Reservoir Simulation
Chapter 42. Stochastic Flood Predictors: Experience in a Small Basin
Chapter 43. Time Series Multiple Linear Regression Models for Evaporation from a Free Water Surface
Chapter 44. Optimal Management of Multireservoir Systems Using Streamflow Forecasts
Chapter 45. Appropriate Sampling Procedures for Estuarine and Coastal Zone Water-Quality Measurements
Chapter 46. Time Series Analysis of Soil Data
Chapter 47. Forecasting Under Linear Partial Information

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Time Series Methods in Hydrosciences

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