T-optimal designs for multi-factor polynomial regression models via a semidefinite relaxation method

Mathematics

• Semidefinite Relaxation 98%
• Polynomial Model 92%
• Relaxation Method 87%
• Cone Constraints 76%
• Regression Model 59%
• Moment 49%
• Design 33%
• Hierarchy 30%
• Moment Matrix 25%
• Outer Approximation 24%
• Equivalence Theorem 23%
• Semidefinite Program 23%
• Discrimination 19%
• Convex Sets 16%
• Regression 13%
• Experiment 13%
• Methodology 13%
• Converge 11%
• Polynomial 9%
• Model 5%

Business & Economics

• Polynomial Regression 100%
• Multi-factor 83%
• Optimality 60%
• Regression Model 59%
• Equivalence Theorem 36%
• Convex Optimization 34%
• Experiment Design 33%
• Polynomials 23%
• Optimization Problem 22%
• Discrimination 21%
• Matrix 21%
• Approximation 19%
• Factors 16%
• Methodology 12%