Pages that link to "Item:Q3465109"
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The following pages link to Optimal designs for 2k factorial experiments with binary response (Q3465109):
Displaying 21 items.
- Two-level experiments for binary response data (Q1023943) (← links)
- On D-optimal designs for binary data (Q1094050) (← links)
- Optimal scaling of two-level factorial experiments (Q1209711) (← links)
- Optimal designs for experiments with a large number of factors (Q1901747) (← links)
- Approximate and exact optimal designs for \(2^k\) factorial experiments for generalized linear models via second order cone programming (Q2029231) (← links)
- Orthogonal array based locally D-optimal designs for binary responses in the presence of factorial effects (Q2063882) (← links)
- Locally D-optimal designs for binary responses in the presence of factorial effects (Q2176422) (← links)
- D-optimal designs for multinomial logistic models (Q2196203) (← links)
- Optimal exact designs of experiments via mixed integer nonlinear programming (Q2302472) (← links)
- Bayesian optimal fractional factorials (Q2746486) (← links)
- Minimax designs for<font>2<sup><i>k</i></sup></font>factorial experiments for generalized linear models (Q2816654) (← links)
- Optimal designs for two-level factorial experiments with binary response (Q2883916) (← links)
- Optimal Designs for 2<sup><i>k</i></sup>Choice Experiments (Q4428267) (← links)
- On prediction error variance to determining optimal design for two variable quadratic logistic model (Q4997708) (← links)
- D-optimal Factorial Designs under Generalized Linear Models (Q5860238) (← links)
- Locally D-Optimal Designs for Hierarchical Response Experiments (Q6039881) (← links)
- An efficient algorithm for Elastic I‐optimal design of generalized linear models (Q6059511) (← links)
- A general equivalence theorem for crossover designs under generalized linear models (Q6062852) (← links)
- \(D\)-optimal and nearly \(D\)-optimal exact designs for binary response on the ball (Q6080684) (← links)
- ForLion: a new algorithm for D-optimal designs under general parametric statistical models with mixed factors (Q6606955) (← links)
- <i>d</i>-QPSO: A Quantum-Behaved Particle Swarm Technique for Finding<i>D</i>-Optimal Designs With Discrete and Continuous Factors and a Binary Response (Q6621622) (← links)
