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Friday, November 20, 2020 | History

5 edition of Statistical modelling in hydrology found in the catalog.

Statistical modelling in hydrology

Robin T. Clarke

Statistical modelling in hydrology

  • 178 Want to read
  • 31 Currently reading

Published by Wiley & Sons in Chichester [England], New York .
Written in English

    Subjects:
  • Hydrology -- Mathematical models.

  • Edition Notes

    Includes bibliographical references and index.

    StatementRobin T. Clarke.
    Classifications
    LC ClassificationsGB656.2.M33 C58 1994
    The Physical Object
    Paginationxii, 412 p. :
    Number of Pages412
    ID Numbers
    Open LibraryOL1081405M
    ISBN 100471950165
    LC Control Number94004944


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Statistical modelling in hydrology by Robin T. Clarke Download PDF EPUB FB2

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Non-linear statistical models --Ch. Generalised linear models --Ch. Multivariate models --Ch. Rainfall-runoff models --Ch. The Modelling of Spatial Processes --Ch. Some possible future developments in statistical modelling --Appendix Some results in probability and statistical theory.

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The transient calibration requires much more computational time than the steady-state calibration due to the additional time dimension. There are other alternatives to the least-squares method such as the maximum-likelihood approach for objective functions.It should depend on catchment size and topology (besides on the rainfall).

We believe that it increases with catchment size, but being any catchment different, it remains a slippery concept. A solid statistical study would be required to clarify, once for all, the issue.

References. Beven, Keith J. Rainfall-Runoff Modelling: The Primer.