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Volumn 107, Issue 2, 2012, Pages 155-163
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Monte Carlo simulation of parameter confidence intervals for non-linear regression analysis of biological data using Microsoft Excel
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Author keywords
Excel; Monte Carlo simulation; SOLVER
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Indexed keywords
BIOLOGICAL DATA;
CHLORHEXIDINE;
COMPOUND ACTION POTENTIALS;
CONFIDENCE INTERVAL;
CORRELATION COEFFICIENT;
DATA SETS;
EXCEL;
EXCEL SPREADSHEETS;
EXPERIMENTAL DATA;
GROWTH INHIBITION;
LISTERIA MONOCYTOGENES;
MATHEMATICAL SOFTWARE;
MICROSOFT EXCEL;
MONTE CARLO;
MONTE CARLO SIMULATION;
MULTIPLE FUNCTION;
NON-LINEAR REGRESSION ANALYSIS;
NONLINEAR FUNCTIONS;
OPTIC NERVE;
PARAMETER ESTIMATE;
PSEUDOMONAS AERUGINOSA;
SOLVER;
ELECTROPHYSIOLOGY;
EYE PROTECTION;
MONTE CARLO METHODS;
PARAMETER ESTIMATION;
REGRESSION ANALYSIS;
SPREADSHEETS;
FUNCTIONS;
CHLORHEXIDINE;
ARTICLE;
BACTERIAL GROWTH;
BIOMEDICINE;
COMPUTER PROGRAM;
CONFIDENCE INTERVAL;
DATA ANALYSIS;
ELECTROPHYSIOLOGY;
GROWTH INHIBITION;
LISTERIA MONOCYTOGENES;
MONTE CARLO METHOD;
NONLINEAR REGRESSION ANALYSIS;
OPTIC NERVE;
PSEUDOMONAS AERUGINOSA;
SOLVER AND ANALYSIS TOOLPAK ADD IN OF THE MICROSOFT EXCEL;
ANIMALS;
COMPUTER SIMULATION;
CONFIDENCE INTERVALS;
HUMANS;
MODELS, BIOLOGICAL;
MONTE CARLO METHOD;
NONLINEAR DYNAMICS;
PROGRAMMING LANGUAGES;
REGRESSION ANALYSIS;
SOFTWARE;
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EID: 84861962710
PISSN: 01692607
EISSN: 18727565
Source Type: Journal
DOI: 10.1016/j.cmpb.2011.05.009 Document Type: Article |
Times cited : (30)
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References (6)
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