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Choosing among hydrologic regression models: 2. Extensions to the standard model
Author(s) -
Valdés Juan B.,
RodríguezIturbe I.,
Vicens Guillermo J.
Publication year - 1980
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/wr016i003p00507
Subject(s) - regression , regression analysis , regression diagnostic , hydrological modelling , covariance matrix , statistics , covariance , bayesian probability , bayesian linear regression , scalar (mathematics) , econometrics , proper linear model , mathematics , bayesian inference , polynomial regression , geology , climatology , geometry
Bayesian methods are used to discriminate among alternative structures of the covariance matrix of the disturbances of hydrologic regression schemes; moreover, the covariance matrix is allowed to be non‐scalar. Different alternative functional forms, which the hydrologic regression may also have, are also discriminated through the proposed methodology.

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