A formal likelihood function for parameter and predictive inference of hydrologic models with correlated, heteroscedastic, and non-Gaussian errors

Water Resources Research

Volumn 46, Issue 10, 2010, Pages

  Schoups, Gerrit ^a   Vrugt, Jasper A ^b,c,d  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b CENTER FOR NONLINEAR STUDIES   (United States)

^c UNIVERSITY OF AMSTERDAM   (Netherlands)

^d University of California at Irvine   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

A-LAPLACIAN; BAYESIAN; CORRELATED ERRORS; DAILY RAINFALL; ERROR DISTRIBUTIONS; ERROR SOURCES; ESTIMATES OF PARAMETERS; FIRST-ORDER; GAUSSIAN PROBABILITY DISTRIBUTIONS; GENERALIZED LIKELIHOOD FUNCTION; HETEROSCEDASTIC; HYDROLOGIC MODELS; LEAST-SQUARES APPROACH; LIKELIHOOD FUNCTIONS; MULTIPLICATIVE BIAS; NON-GAUSSIAN; PARAMETER UNCERTAINTY; PEAK FLOWS; PREDICTION UNCERTAINTY; PREDICTIVE INFERENCES; PREDICTIVE UNCERTAINTY; RAINFALL-RUNOFF MODELS; REGRESSION MODEL; RESIDUAL ERROR; SIMPLIFYING ASSUMPTIONS; STATISTICAL DESCRIPTIONS; STATISTICAL DISTRIBUTION; TIME-PERIODS; ZERO FLOW;

DISTRIBUTION FUNCTIONS; ERRORS; GAUSSIAN DISTRIBUTION; MATHEMATICAL MODELS; PROBABILITY DENSITY FUNCTION; RAIN; REACTOR CORES; REGRESSION ANALYSIS; RUNOFF; SYSTEMATIC ERRORS;

UNCERTAINTY ANALYSIS;

BAYESIAN ANALYSIS; DATA SET; ERROR ANALYSIS; ESTIMATION METHOD; GAUSSIAN METHOD; HUMID ENVIRONMENT; HYDROLOGICAL MODELING; PARAMETERIZATION; RAINFALL-RUNOFF MODELING; REGRESSION ANALYSIS; SEMIARID REGION; UNCERTAINTY ANALYSIS;

EID: 77954727893     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2009WR008933     Document Type: Article

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