| Kernel spline regression |
549:Y |
QCAS / 51 / 3 / 325 |
| The MM-estimator in response surface methodology |
549:Y |
QCAS / 51 / 3 / 327 |
| A methodology to synthesize monitoring laws by using quality, security, ecology and productivity criteria |
690:Y |
QCAS / 51 / 3 / 341 |
| Statistical analysis of geometrical tolerances: A case study |
710:Y |
QCAS / 51 / 3 / 343 |
| Using degradation data to assess reliability |
820:Y |
QCAS / 51 / 3 / 349 |
| Using statistical thinking and designed experiments to understand process operation |
100:Y |
QCAS / 51 / 2 / 121 |
| Two modified semicircle control charts for detecting process improvement |
110:Y |
QCAS / 51 / 2 / 125 |
| Quality control measurement of an engineering productivity index |
110:Y |
QCAS / 51 / 2 / 129 |
| Economic design of moving average control charts |
111:Y |
QCAS / 51 / 2 / 131 |
| Spectral control chart |
119:Y |
QCAS / 51 / 2 / 137 |
| Practical implementation of the capability index Cpk based on the control chart data |
120:Y |
QCAS / 51 / 2 / 139 |
| A Wald test for comparing multiple capability indices |
120:Y |
QCAS / 51 / 2 / 141 |
| Modelling of unexpected shift in SPC |
130:Y |
QCAS / 51 / 2 / 145 |
| A virtual system for vision based SPC |
190:Y |
QCAS / 51 / 2 / 147 |
| Ranked set sampling: An approach to more efficient data collection |
210:Y |
QCAS / 51 / 2 / 149 |
| The effects of sampling strategies on the small sample properties of the logit estimator |
210:Y |
QCAS / 51 / 2 / 155 |
| An application of ranked set sampling for mean and median estimation using USDA crop production data |
210:Y |
QCAS / 51 / 2 / 159 |
| Serial inspection plan in the presence of inspection errors: Maximum likelihood and maximum entropy approaches |
230:Y |
QCAS / 51 / 2 / 161 |
| Sample size and number of failure requirements for demonstration tests with log-location-scale distributions and failure censoring |
240:Y |
QCAS / 51 / 2 / 163 |
| TQM: A change management model for market orientation |
311:Y |
QCAS / 51 / 2 / 173 |
| Improving quality in the Spanish electrical sector: A QFD application |
323:Y |
QCAS / 51 / 2 / 185 |
| ISO 9000 in service: The good, the bad and the ugly |
342:Y |
QCAS / 51 / 2 / 189 |
| The financial impact of ISO 9000 certification in the United States: An empirical analysis |
342:Y |
QCAS / 51 / 2 / 191 |
| The penetration of ISO 9000 certification in Greek industries |
342:Y |
QCAS / 51 / 2 / 195 |
| Mystery shopping: A tool to develop insight into customer service provision |
350:Y |
QCAS / 51 / 2 / 199 |
| Taking into consideration the sociocultural dimension in the drive for change through quality: Application to the Moroccan company |
410:Y |
QCAS / 51 / 2 / 207 |
| Reduction in delay in procurement of materials using Six Sigma philosophy |
430:Y |
QCAS / 51 / 2 / 209 |
| The most-cited statistical papers |
510:Y |
QCAS / 51 / 2 / 211 |
| Testing general hypotheses under binomial sampling: The two sample case – asymptotic theory and exact procedures |
511:Y |
QCAS / 51 / 2 / 213 |
| Optimal stated preference choice experiments when all choice sets contain a specific option |
524:Y |
QCAS / 51 / 2 / 221 |
| Efficient designs based on orthogonal arrays of type I and type II for experiments using units ordered over time or space |
530:Y |
QCAS / 51 / 2 / 223 |
| Mixture models, latent variables and partitioned importance sampling |
559:Y |
QCAS / 51 / 2 / 225 |
| A new method in selective assembly to minimize clearance variation for a radial assembly using genetic algorithm |
660:Y |
QCAS / 51 / 2 / 227 |
| Quantile-based metrics applied to process performance |
720:Y |
QCAS / 51 / 2 / 229 |
| A heuristic reliability optimization algorithm for complex systems based on measures of reliability importance |
820:Y |
QCAS / 51 / 2 / 231 |
| Using CUSUM control schemes for monitoring quality levels in compound Poisson production environment: The geometric Poisson process |
110:Y |
QCAS / 51 / 1 / 17 |
| Nonparametric control charts based on Mahalanobis depth |
110:Y |
QCAS / 51 / 1 / 21 |
| X-charts versus X/MR chart combinations: IID cases and non-IID cases |
111:Y |
QCAS / 51 / 1 / 27 |
| A control chart based on sample median for the detection of a permanent shift in the process mean |
111:Y |
QCAS / 51 / 1 / 29 |
| Using statistical thinking and designed experiments to understand process operation |
120:Y |
QCAS / 51 / 1 / 33 |
| Average run length and the OC curve of sampling plans |
210:Y |
QCAS / 51 / 1 / 35 |
| Stopping-time resampling for sequential Monte Carlo methods |
210:Y |
QCAS / 51 / 1 / 39 |
| Accept-reject Metropolis-Hastings sampling and marginal likelihood estimation |
210:Y |
QCAS / 51 / 1 / 41 |
| Six Sigma basics |
311:Y |
QCAS / 51 / 1 / 43 |
| Organizational dashboards: Steering an organization towards its mission |
312:Y |
QCAS / 51 / 1 / 45 |
| Importance and implementation of Baldrige practices for small businesses |
343:Y |
QCAS / 51 / 1 / 49 |
| The strategic deployment of quality-improving innovations |
410:Y |
QCAS / 51 / 1 / 53 |
| Quality management in Pakistan’s readymade garments’ industry |
410:Y |
QCAS / 51 / 1 / 55 |
| How are organizational measures really used? |
420:Y |
QCAS / 51 / 1 / 57 |
| Confidence intervals for proportions estimated from complex sample designs |
511:Y |
QCAS / 51 / 1 / 63 |
| On the post hoc power in testing mean differences |
511:Y |
QCAS / 51 / 1 / 67 |
| Comparing variances and other measures of dispersion |
515:Y |
QCAS / 51 / 1 / 69 |
| Design of experiments for dummies |
520:Y |
QCAS / 51 / 1 / 75 |
| Optimization of correlated multiple quality characteristics using desirability function |
520:Y |
QCAS / 51 / 1 / 77 |
| Response surface designs within a split-plot structure |
525:Y |
QCAS / 51 / 1 / 79 |
| Regression analysis of interval-censored failure time data with linear transformation models |
540:Y |
QCAS / 51 / 1 / 81 |
| Estimating equation approach for regression analysis of failure time data in the presence of interval-censoring |
540:Y |
QCAS / 51 / 1 / 83 |
| Change point problems in the model of logistic regression |
549:Y |
QCAS / 51 / 1 / 85 |
| What do online customers value? |
640:Y |
QCAS / 51 / 1 / 93 |
| Effects of quality management and marketing on organizational performance |
640:Y |
QCAS / 51 / 1 / 95 |
| An investigation of the measurements systems analysis “analytic method” for attribute gages |
710:Y |
QCAS / 51 / 1 / 103 |
| The dark side of process measurement |
710:Y |
QCAS / 51 / 1 / 105 |
| Testing whether failure rate changes its trend with unknown change points |
820:Y |
QCAS / 51 / 1 / 107 |
| Nonparametric estimation of reliability and survival function for continuous time finite Markov processes |
820:Y |
QCAS / 51 / 1 / 109 |
| Reliability assessment and sensitivity analysis of software reliability growth modeling based on software module structure |
850:Y |
QCAS / 51 / 1 / 111 |
| Graphical representation of run length distributions |
110:Y |
QCAS / 50 / 6 / 601 |
| Multi-resolution wavelets analysis approach for the recognition of concurrent control chart patterns |
110:Y |
QCAS / 50 / 6 / 603 |
| A neural network method for modelling the parameters of a CUSUM chart |
110:Y |
QCAS / 50 / 6 / 605 |
| A computer program to calculate two-stage short-run control chart factors for (X̄, s) charts |
111:Y |
QCAS / 50 / 6 / 609 |
| Adjusted loss-function charts with variable sample sizes and sampling intervals |
111:Y |
QCAS / 50 / 6 / 613 |
| Improving process capability of manufacturing process by application of statistical techniques |
120:Y |
QCAS / 50 / 6 / 617 |
| A Bayesian approach for assessing process precision based on multiple samples |
130:Y |
QCAS / 50 / 6 / 619 |
| A phenomenological taxonomy for systematizing knowledge on nonconformances |
190:Y |
QCAS / 50 / 6 / 623 |
| Sampling distributions associated with the multivariate t distribution |
210:Y |
QCAS / 50 / 6 / 627 |
| Exemplar sampling: Nonrandom methods of selecting a sample which characterizes a finite multivariate population |
210:Y |
QCAS / 50 / 6 / 629 |
| A diffusion-neural-network for learning from small samples |
210:Y |
QCAS / 50 / 6 / 631 |
| Using spreadsheet solvers in sample design |
210:Y |
QCAS / 50 / 6 / 633 |
| Maintaining race and ethnicity trend lines in U. S. government surveys |
230:Y |
QCAS / 50 / 6 / 635 |
| Robustness of sample size re-estimation with interim binary data for double-blind clinical trials |
240:Y |
QCAS / 50 / 6 / 639 |
| Geometric representation of high dimension, low sample size data |
240:Y |
QCAS / 50 / 6 / 641 |
