Category: 520 (Design & analysis of experiments)

Title Cat:App Page
Estimating pure-error from near replicates in design of experiments 520:Y QCAS / 68 / 5-6 / 409
Factorial designs for online experiments 520:Y QCAS / 68 / 1-2 / 97
Do spatial designs outperform classic experimental designs? 520:Y QCAS / 67 / 5-6 / 421
Repairing constrained experimental regions and designs for mixture or nonmixture variables when some design points are unacceptable 520:Y QCAS / 66 / 5-6 / 417
Design and analysis of confirmation experiments 520:Y QCAS / 66 / 3-4 / 225
Replication or exploration? Sequential design for stochastic simulation experiments 520:Y QCAS / 66 / 1-2 / 95
Response modeling approach to robust parameter design methodology using supersaturated designs 520:Y QCAS / 65 / 1-2 / 89
Reliability improvement of diamond drill bits using design of experiments 520:Y QCAS / 65 / 1-2 / 93
Analyzing two-stage experiments in the presence of Interference 520:Y QCAS / 64 / 5-6 / 467
Considerations on testing secondary endpoints in group sequential design 520:Y QCAS / 64 / 3-4 / 263
Optimal designs for dose response curves with common parameters 520:Y QCAS / 64 / 3-4 / 265
Partial replication of small two-level factorial designs 520:Y QCAS / 64 / 1-2 / 105
Bayesian design of experiments for generalized linear models and dimensional analysis with industrial and scientific application 520:Y QCAS / 63 / 5-6 / 457
Confirmation runs in design of experiments 520:Y QCAS / 63 / 3-4 / 239
Identifying the structure of the experimental design 520:Y QCAS / 63 / 3-4 / 243
An experimental diagnostic procedure to identify the source of defects in multi-stage and multi-component production processes 520:Y QCAS / 63 / 3-4 / 245
Optimal designs for quadratic regression with random block effects: The case of block size two 520:Y QCAS / 63 / 3-4 / 247
Process optimization through designed experiments to achieve consistency in output color of a compounded plastic grade 520:M QCAS / 61 / 4 / 375
Universally optimal designs for two interference models 520:Y QCAS / 61 / 3 / 253
Dynamic Bayesian analysis for irregularly and incompletely observed contingency tables 520:Y QCAS / 59 / 5-6 / 507
A framework for initial experimental design in the presence of competing prior knowledge 520:Y QCAS / 59 / 5-6 / 509
On estimating the mean of the selected normal population in two-stage adaptive designsller Title: please update 520:Y QCAS / 59 / 4 / 359
Methods for planning repeated measures degradation studies 520:Y QCAS / 59 / 3 / 243
Sequential estimation for covariate-adjusted response-adaptive designs 520:Y QCAS / 59 / 1-2 / 125
Three-stage industrial strip-plot experiments 520:Y QCAS / 59 / 1-2 / 127
Experimental designs for identifying casual mechanisms 520:Y QCAS / 59 / 1-2 / 129
A Bayesian nonparametric model for Taguchi’s on-line quality monitoring procedure for attributes 520:Y QCAS / 58 / 5-6 / 537
Designed experiments for the defense community 520:Y QCAS / 58 / 4 / 361
Data transformations with a full 26 experimental design: A metal-cutting case study 520:Y QCAS / 58 / 4 / 363
Fraud in clinical trials: Detecting it and preventing it 520:B QCAS / 58 / 3 / 233
Optimum design of experiments for statistical inference 520:Y QCAS / 58 / 3 / 235
Optimization of designed experiments based on multiple criteria utilizing a Pareto frontier 520:Y QCAS / 58 / 1-2 / 85
Simulated annealing model search for subset selection in screening experiments 520:Y QCAS / 58 / 1-2 / 87
Some inferential procedures in randomized repeated measurement design for binary response 520:Y QCAS / 58 / 1-2 / 89
Multi-treatment optimal response-adaptive designs for phase III clinical trials 520:Y QCAS / 58 / 1-2 / 91
Optimal process adjustment by integrating production data and design of experiments 520:Y QCAS / 57 / 5-6 / 519
A class of three-level designs for definitive screening in the presence of second-order effects 520:Y QCAS / 57 / 4 / 365
Designing simulation experiments with controllable and uncontrollable factors for applications in healthcare 520:Y QCAS / 57 / 4 / 367
Don’t use rank sum tests to analyze factorial designs 520:Y QCAS / 57 / 4 / 369
Screening for fuel economy: A case study of supersaturated designs in practice 520:Y QCAS / 57 / 3 / 241
A split-plot experiment with factor-dependent whole-plot sizes 520:Y QCAS / 57 / 3 / 243
A class of three level designs for definite screening in the presence of second-order effects 520:Y QCAS / 57 / 3 / 247
Exchange algorithms for constructing model robust experimental designs 520:Y QCAS / 57 / 3 / 249
Optimal and efficient cross-over designs for test control study when subject efforts are random 520:Y QCAS / 57 / 3 / 251
Why is not design of experiments widely used by engineers in Europe? 520:A QCAS / 57 / 1-2 / 93
A Bayesian approach for integration of physical and computer experiments for quality improvement in nano-composite manufacturing 520:M QCAS / 57 / 1-2 / 95
An estimated-score approach for dealing with missing covariate data in matched case-control studies 520:Y QCAS / 57 / 1-2 / 97
D-optimal and D-efficient equivalent-estimation second-order split-plot designs 520:Y QCAS / 57 / 1-2 / 99
Optimal row–column designs in high-throughput screening experiments 520:Y QCAS / 57 / 1-2 / 101
A covariate-adjusted adaptive design for two-stage clinical trials with survival data 520:Y QCAS / 56 / 1-2 / 105
Uncertainty in designed experiments 520:Y QCAS / 56 / 1-2 / 107
Optimum designs versus orthogonal arrays for main effects and two-factor interactions 520:Y QCAS / 55 / 5-6 / 509
Bayesian optimal design for change point problems 520:Y QCAS / 55 / 5-6 / 511
Sensitivity analysis of optimal designs for accelerated life testing 520:Y QCAS / 55 / 5-6 / 513
Using DEA’s multi-choice method to reach multi-response optimization in Taguchi’s Problem 520:Y QCAS / 55 / 4 / 369
Proposed tests for the non-decreasing alternative in a mixed design 520:Y QCAS / 55 / 4 / 371
Designed experiments with fixed and varying factors – A cautionary tale 520:Y QCAS / 55 / 1-2 / 85
Deciphering all those minimum aberration criteria for experimental designs 520:Y QCAS / 55 / 1-2 / 87
Formulating mixed models for experiments, including longitudinal experiments 520:Y QCAS / 55 / 1-2 / 89
Marginally restricted D-optimal designs for correlated observations 520:Y QCAS / 55 / 1-2 / 93
Analysis of data from non-orthogonal multistratum designs in industrial experiments 520:Y QCAS / 55 / 1-2 / 95
A designed screening study with prespecified combinations of factor settings 520:Y QCAS / 55 / 1-2 / 97
Modeling of Taguchi’s signal-to-noise ratios for healthcare 520:B QCAS / 54 / 4 / 353
Product and process optimization through design of experiments: A case study 520:Y QCAS / 54 / 3 / 239
Follow-up designs to resolve confounding in split-plot experiments 520:Y QCAS / 54 / 3 / 241
Making tradeoffs in designing scientific experiments: A case study with multi-level factors 520:Y QCAS / 54 / 3 / 243
A post-fractionated strip-strip-block design for multi-stage processes 520:Y QCAS / 54 / 3 / 245
Analysis of optimization experiments 520:Y QCAS / 54 / 1-2 / 97
Bayesian inference and life testing plan for the Weibull distribution in presence of progressive censoring 520:Y QCAS / 54 / 1-2 / 99
Optimal designs for conjoint experiments 520:Y QCAS / 53 / 6 / 591
A running example for use in a class on design of experiments 520:Y QCAS / 53 / 4-5 / 457
Must a process be in statistical control before conducting designed experiments 520:Y QCAS / 53 / 4-5 / 459
Randomization of neighbor balanced generalized Youden designs 520:Y QCAS / 52 / 6 / 661
An experiment to compare Taguchi’s product array and the combined array 520:Y QCAS / 52 / 5 / 537
The decomposition of effects in full factorial experimental design into individual treatment combinations 520:Y QCAS / 52 / 5 / 539
Bayes optimal sequential trial designs 520:Y QCAS / 52 / 5 / 541
Design of experiment algorithms for assembled products 520:Y QCAS / 52 / 3 / 319
Efficient 2k factorial designs for blocks of size 2 with microarray applications 520:Y QCAS / 52 / 3 / 325
One- and two-sided tolerance intervals for general balanced mixed models and unbalanced one-way random models 520:Y QCAS / 52 / 2 / 211
New frontiers in the design of experiments 520:Y QCAS / 52 / 1 / 79