The following pages link to (Q3627271):
Displaying 50 items.
- (Q4220707) (← links)
- Two-stage central composite designs with dispersion effects (Q4237834) (← links)
- (Q4255097) (← links)
- (Q4264754) (← links)
- Design‐of‐Experiments Methods and their Application to Robust Multicriteria Optimization Problems (Q4268648) (← links)
- An Enhanced Recursive Stopping Rule for Steepest Ascent Searches in Response Surface Methodology (Q4454192) (← links)
- Computational schema on ridge analysis (Q4490203) (← links)
- Bayesian two-stage optimal design for mixture models (Q4514238) (← links)
- AN APPROACH TO OPTIMIZATION IN RESPONSE SURFACE METHODOLOGY (Q4540626) (← links)
- Optimization of product performance of a paint formulation using a mixture experiment (Q4540845) (← links)
- Opportunities and challenges for industrial statisticians (Q4540875) (← links)
- A note on the optimal number of centre runs in a second phase design of response surface methods (Q4540890) (← links)
- Modified ridge analyses under nonstandard (Q4541760) (← links)
- A new model and class of designs for mixture experiments with process variables (Q4550649) (← links)
- A neural network approach to response surface methodology (Q4550650) (← links)
- Some practical advice on polynomial regression analysis from blocked response surface designs (Q4550651) (← links)
- Project scheduling and equipment planning with random breakdowns (Q4578170) (← links)
- Optimization of GMA welding process using the dual response approach (Q4655462) (← links)
- Solving a multistage partial inspection problem using genetic algorithms (Q4656119) (← links)
- Operational design of a supply chain system using the Taguchi method, response surface methodology, simulation, and optimization (Q4671294) (← links)
- Capacity estimation of a multi-product unreliable production line (Q4706326) (← links)
- Flexibility analysis: A methodology and a case study (Q4710078) (← links)
- Real-time simulation and control systems design by the Response Surface Methodology and designed experiments (Q4809254) (← links)
- Small Robust Response-Surface Designs for Quantitative and Qualitative Factors (Q4811712) (← links)
- Solving bi-level optimization problems in engineering design using kriging models (Q5058779) (← links)
- (Q5101783) (← links)
- Singular majorants and minorants: enhanced design conditioning (Q5106890) (← links)
- Optimization of a catalyst system through the sequential application of experimental design techniques (Q5123377) (← links)
- An augmented approach to the desirability function (Q5126973) (← links)
- (Q5137571) (← links)
- Surrogate Optimization of Computationally Expensive Black-Box Problems with Hidden Constraints (Q5139625) (← links)
- Robust Design of Motor PWM Control using Modeling and Simulation (Q5302458) (← links)
- Development of a New Process Incapability Index with an Application to the Evaluation of Manufacturing Risk (Q5321893) (← links)
- Second-Order Response Surface Model with Neighbor Effects (Q5321940) (← links)
- Integrating probabilistic design and rare‐event simulation into the requirements engineering process for high‐reliability systems (Q5416761) (← links)
- (Q5476854) (← links)
- Reliability analysis for elastoplastic mechanical structures under stochastic uncertainty (Q5485478) (← links)
- A hybrid model-classifier framework for managing prediction uncertainty in expensive optimisation problems (Q5497417) (← links)
- Response surface approach to aerodynamic optimization design of helicopter rotor blade (Q5695887) (← links)
- Data-Driven Polynomial Ridge Approximation Using Variable Projection (Q5745137) (← links)
- Optimal designs for variance function estimation using sample variances (Q5929955) (← links)
- An application of information theory and error-correcting codes to fractional factorial experiments (Q5929958) (← links)
- On the determination of robust settings in parameter design experiments (Q5953862) (← links)
- Minimizing the bias and variance of the gradient estimate in RSM simulation studies (Q5955096) (← links)
- \(D\)-optimal response surface designs in the presence of random block effects. (Q5958631) (← links)
- Practical algorithms for multivariate rational approximation (Q6158843) (← links)
- Achieving robust design through statistical effect screening (Q6558903) (← links)
- Determining the target value of ACICD to optimize the electrical characteristics of semiconductors using dual response surface optimization (Q6570839) (← links)
- Multi-fidelity response surfaces for uncertainty quantification in beams using coarse and fine finite element discretizations (Q6574345) (← links)
- Multiresponse surface methods: a comparative study (Q6597113) (← links)
