| Analysis of data from orthogonal minimally aliased response surface designs |
525:Y |
QCAS / 70 / 1-2 / 87 |
| Response surface optimization in the presence of internal noise with application to optimal alignment of carbon nanotubes |
525:Y |
QCAS / 66 / 3-4 / 229 |
| Optimal design of experiments for non-linear response surface models |
525:Y |
QCAS / 66 / 1-2 / 99 |
| Small, balanced, efficient, optimal, and near rotatable response surface designs for factorial experiments asymmetrical in some quantitative, qualitative factors |
525:Y |
QCAS / 64 / 1-2 / 109 |
| A solution selection approach to multiresponse surface
optimization based on clustering method |
525:Y |
QCAS / 63 / 5-6 / 461 |
| Response surface methodology using split-plot definitive screening designs |
525:Y |
QCAS / 62 / 1-2 / 101 |
| Fractional Brownian fields for response surface metamodeling |
525:Y |
QCAS / 60 / 4 / 361 |
| Process optimization of a superfinishing machine through experimental design and mixed response surface models |
525:Y |
QCAS / 60 / 4 / 365 |
| Asymptotic normality of the optimal solution in response surface methodology |
525:Y |
QCAS / 60 / 3 / 247 |
| E-optimal designs for second-order response surface models |
525:Y |
QCAS / 60 / 3 / 249 |
| Influence analysis in response surface methodology |
525:Y |
QCAS / 60 / 1-2 / 101 |
| Response surfaces, blocking and split plots: An industrial experiment case study |
525:Y |
QCAS / 58 / 5-6 / 539 |
| I-optimal versus D-optimal split-plot response surface designs |
525:Y |
QCAS / 58 / 4 / 365 |
| Rethinking the optimal response surface design for a first-
order model with two-factor interactions, when protecting against curvature |
525:Y |
QCAS / 58 / 3 / 237 |
| Fractional Box-Behnken designs for one-step response surface methodology |
525:Y |
QCAS / 58 / 1-2 / 93 |
| Response surface methodology in biotechnology |
525:B |
QCAS / 56 / 1-2 / 109 |
| Exact calculation of integrated prediction variance for response surface designs on cuboidal and spherical regions |
525:Y |
QCAS / 55 / 1-2 / 99 |
| MR–PRIM: Patient rule induction method for multi-response optimization |
525:Y |
QCAS / 53 / 4-5 / 463 |
| A reference prior for the analysis of a response surface |
525:Y |
QCAS / 52 / 5 / 547 |
| Minimax designs for the stability of slope estimation on second-order response surfaces |
525:Y |
QCAS / 52 / 5 / 549 |
| Optimization of multiple response surfaces with secondary constraints for improving a radiography inspection process |
525:Y |
QCAS / 52 / 5 / 555 |
| A response surface approach to tolerance design |
525:Y |
QCAS / 52 / 4 / 433 |
| Response surface designs within a split-plot structure |
525:Y |
QCAS / 51 / 1 / 79 |
| Response surface modeling and optimization in multiresponse experiments using seemingly unrelated regressions |
525:Y |
QCAS / 50 / 6 / 691 |
| A Bayesian approach for multiple response surface optimization in the presence of noise variables |
525:Y |
QCAS / 50 / 2 / 215 |
| Two approaches for improving the dual response method in robust parameter design |
525:Y |
QCAS / 50 / 2 / 219 |
| Joint optimization of mean and standard deviation using response service methods |
525:Y |
QCAS / 49 / 2 / 201 |
| Response surface designed experiment for door closing effort |
525:Y |
QCAS / 48 / 6 / 669 |
| Row-column response surface designs |
525:Y |
QCAS / 48 / 6 / 673 |
| Multistratum response surface designs |
525:Y |
QCAS / 48 / 2 / 201 |
| A class of experimental designs for estimating a response surface and variance components |
525:Y |
QCAS / 48 / 1 / 85 |
| A note on slope rotatability over all directions |
525:Y |
QCAS / 46 / 6 / 687 |
| The use of response surface designs in the selection of optimum tolerance allocation |
525:Y |
QCAS / 46 / 5 / 567 |
| A class of three-level experimental designs for response surface modeling |
525:Y |
QCAS / 46 / 3 / 325 |
| Difference variance dispersion graphs for comparing response surface designs with applications in food technology |
525:Y |
QCAS / 45 / 4 / 447 |
