The inverse problem in granulation modeling-Two different statistical approaches

AIChE Journal

Volumn 57, Issue 11, 2011, Pages 3105-3121

  Braumann, Andreas ^a   Man, Peter L W ^a   Kraft, Markus ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Mathematical modeling; Particle technology; Process simulation; Statistical analysis

Indexed keywords

BAYESIAN APPROACHES; BIMODAL DISTRIBUTION; COMPACTION RATES; EXPERIMENTAL UNCERTAINTY; MATHEMATICAL MODELING; MODEL DEVELOPMENT; MODEL PREDICTION; MULTIDIMENSIONAL POPULATION BALANCE MODELS; PARAMETER COMBINATION; PARTICLE TECHNOLOGY; PROCESS SIMULATIONS; PROJECTION METHOD; SODIUM CARBONATE; STATISTICAL APPROACH; SURROGATE MODEL;

BAYESIAN NETWORKS; COMPUTER SIMULATION; ESTIMATION; FORECASTING; GLYCOLS; GRANULATION; INVERSE PROBLEMS; LABORATORIES; POLYETHYLENE GLYCOLS; POPULATION STATISTICS; RATE CONSTANTS; SODIUM; STATISTICAL METHODS; UNCERTAINTY ANALYSIS;

PARAMETER ESTIMATION;

EID: 80053919637     PISSN: 00011541     EISSN: 15475905     Source Type: Journal    
DOI: 10.1002/aic.12526     Document Type: Article

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