Estimation Theory in Hydrology and Water Systems

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Series: Developments in water science 42

ISBN: 9780444416698, 0-444-41669-2, 0-444-98726-6

Size: 13 MB (13162896 bytes)

Pages: 3-269/275

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K. Nacházel (Eds.)9780444416698, 0-444-41669-2, 0-444-98726-6

Methodological procedures of the theory of estimation of statistical parameters of time series and their application to hydrology and water engineering, particularly the sphere of reservoir-controlled runoffs, are dealt with in this volume. For estimates use is made of random sequences generated for various probability properties. This methodological approach enables examination of the properties of random and systematic errors of the parameters estimated even for the asymmetrical probability distributions, which are frequent in hydrology and water engineering. This book will be of interest to stochastic hydrologists.

Table of contents :
Content:
Edited by
Page 3

Copyright page
Page 4

Other Titles in this Series
Pages 5-6

Preface
Pages 11-12
K. Nacházel

Symbols and units
Pages 13-14

1 Essence of the role of estimation and the fundamental problems of estimation theory
Pages 15-18

2 Development of estimation theory and its application to hydrology and water engineering
Pages 19-23

3 Sample characteristics. Their distribution
Pages 24-64

4 Estimation of parameters by the moments method
Pages 65-72,72a,72b,73-101

5 Estimation of parameters by the method of maximum likelihood
Pages 102-125

6 Estimation of parameters by the quantiles method
Pages 126-135

7 Analysis of time series, and their mathematical modelling
Pages 136-148

8 Parameter estimation of series of maximum flood flows
Pages 149-156

9 Estimation of parameters of average annual flows series
Pages 157-166

10 Estimation of parameters of average monthly flow series
Pages 167-181

11 Automated parameter estimation and computer-aided modelling of random hydrological series
Pages 182-195

12 Application of the theory of estimation to the design of storage reservoirs
Pages 196-256

13 Prospects of the development of estimation theory
Pages 257-259

Bibliography
Pages 260-267

Subject Index
Pages 268-269

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