An efficient computational method for global sensitivity analysis and its application to tree growth modelling

Reliability Engineering and System Safety

Volumn 107, Issue , 2012, Pages 35-43

  Wu, Qiong Li ^a,b,c   Cournède, Paul Henry ^a,b   Mathieu, Amélie ^d  

^a INRIA SACLAY   (France)

^b Ecole Centrale de Paris   (France)

^c WUHAN UNIVERSITY   (China)

^d CEMAGREF   (France)

Author keywords

Computing efficiency; Error estimation; Functional structural plant models; GreenLab; Sensitivity analysis; Sobol indices

Indexed keywords

BIOMASS ACCUMULATION; COMPUTING EFFICIENCY; COMPUTING TIME; FUNCTIONAL-STRUCTURAL MODELS; GENERIC TYPES; GLOBAL SENSITIVITY ANALYSIS; GREENLAB; MODEL EVALUATION; MONTE CARLO SAMPLING; NON-LINEAR MODEL; NON-LINEARITY; NUMERICAL TESTS; PLANT GROWTH; PLANT MODEL; RESAMPLING; SENSITIVITY INDICES; SOBOL INDICES; STRUCTURAL DEVELOPMENT; TREE GROWTH; TREE MODELS;

COMPUTATIONAL METHODS; ERROR ANALYSIS; ESTIMATION; MODEL STRUCTURES; NUMERICAL METHODS; PLANTS (BOTANY); SENSITIVITY ANALYSIS;

FORESTRY;

ERRORS; ESTIMATION; FORESTRY; INDEXING; PLANTS;

EID: 84866326785     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ress.2011.07.001     Document Type: Conference Paper

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