Bayesian assessment of the expected data impact on prediction confidence in optimal sampling design

Water Resources Research

Volumn 48, Issue 2, 2012, Pages

  Leube, P C ^a   Geiges, A ^a   Nowak, W ^a  

^a UNIVERSITY OF STUTTGART   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BOOTSTRAP FILTERS; CONCEPTUAL MODEL; DATA COLLECTION; DATA IMPACT; DATA UTILITIES; DATA VALUES; FLOW AND TRANSPORT; GEO-STATISTICS; GEOSTATISTICAL; INFORMATION NEED; LARGE CLASS; LINEARIZED METHODS; LOGICAL DATA; MODEL AVERAGING; MODEL ERRORS; OPTIMAL DESIGN; OPTIMAL DESIGN METHODS; OPTIMAL SAMPLING DESIGN; PREDICTION CONFIDENCE; PREDICTION UNCERTAINTY; SAMPLING DESIGN; SIMULATION TOOL; SOURCES OF UNCERTAINTY; STATISTICAL INDEPENDENCE; SUBSURFACE TRANSPORT; TASK-DRIVEN; UTILITY MEASURE; ZERO CORRELATION;

FORECASTING; LINEARIZATION; MEASUREMENT ERRORS; OPTIMAL SYSTEMS; OPTIMIZATION; PROBABILITY DISTRIBUTIONS;

UNCERTAINTY ANALYSIS;

ASSESSMENT METHOD; BAYESIAN ANALYSIS; BOUNDARY CONDITION; COMPUTER SIMULATION; FILTER; GEOSTATISTICS; HYDROGEOLOGY; LINEARITY; MEASUREMENT METHOD; NUMERICAL MODEL; PREDICTION; SAMPLING; STOCHASTICITY; SUBSURFACE FLOW; UNCERTAINTY ANALYSIS;

EID: 84856862708     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2010WR010137     Document Type: Article

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