Role of model selection criteria in geostatistical inverse estimation of statistical data- and model-parameters

Water Resources Research

Volumn 47, Issue 7, 2011, Pages

  Riva, Monica ^a   Panzeri, Marco ^a   Guadagnini, Alberto ^a   Neuman, Shlomo P ^b  

^a POLITECNICO DI MILANO   (Italy)

^b UNIVERSITY OF ARIZONA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN CRITERION; CONDUCTIVITY MEASUREMENTS; CONFINED AQUIFERS; DIFFERENTIAL EVOLUTION; DISCRETE LOCATION; DISCRIMINATORY POWER; ERROR VARIANCE; GENETIC SEARCH ALGORITHMS; GEOSTATISTICAL; HEAD DATA; INFORMATION THEORETIC CRITERION; INVERSE ALGORITHM; INVERSE ESTIMATION; LOG LIKELIHOOD; MAXIMUM LIKELIHOOD FUNCTION; MEAN FLOW; MODEL PARAMETERS; MODEL QUALITIES; MODEL SELECTION CRITERIA; NONLOCAL; NUMERICAL APPROXIMATIONS; PARAMETER VECTORS; PARAMETERIZED; PRIOR INFORMATION; RELATIVE WEIGHTS; SECOND ORDERS; SECOND-ORDER APPROXIMATION; STATISTICAL DATAS; STATISTICAL PARAMETERS; STEADY STATE; TRANSIENT HYDRAULICS; UNKNOWN VALUES; VARIOGRAMS;

APPROXIMATION ALGORITHMS; AQUIFERS; BIOLOGY; ESTIMATION; EVOLUTIONARY ALGORITHMS; GROUNDWATER FLOW; GROUNDWATER RESOURCES; HYDRAULICS; INFORMATION THEORY; MAXIMUM LIKELIHOOD ESTIMATION;

UNCERTAINTY ANALYSIS;

BAYESIAN ANALYSIS; FLOW MODELING; GENETIC ALGORITHM; GEOSTATISTICS; GROUNDWATER FLOW; HYDRAULIC CONDUCTIVITY; HYDRAULIC HEAD; NONLINEARITY; STEADY-STATE EQUILIBRIUM;

EID: 79960034053     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2011WR010480     Document Type: Article

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