| The optimization with the genetic algorithm apporach of the multi-objective, joint economical design of the X̄ and R control charts |
111:Y |
241 |
| A distribution-free Shewhart quality control chart based on signed-ranks |
111:Y |
243 |
| Performance measures for the Shewhart X̄ control chart |
111:Y |
247 |
| Poisson moving average versus c chart for nonconformities |
112:Y |
251 |
| Effect of nonnormality on the economic design of warning limit X̄ charts |
113:Y |
255 |
| A simple algorithm to determine the optimal inspection interval |
290:Y |
261 |
| Integrated inspection strategy model with inspection errors and positive inspection time lengths |
290:Y |
263 |
| Quality: An ethical inquiry |
311:Y |
265 |
| To make it ‘total’: Quality management over subcultures |
313:Y |
267 |
| A survey of TQM success factors in the UK |
319:Y |
269 |
| Enabling a TQM structure through information technology |
319:Y |
271 |
| An analytical framework to measure, benchmark and improve the strategic position of an organization using a quality competitiveness index |
324:Y |
275 |
| Training quality managers – Do they practice what they preach? |
331:Y |
281 |
| Teamwork and total quality management: A durable partnership |
332:Y |
283 |
| Employee satisfaction: Does Kano’s model apply? |
334:A |
285 |
| Challenges posed to performance management by TQM gurus: Contributions of individual employees versus systems-level features |
334:Y |
289 |
| Innovation and attention to detail in the quality improvement paradigm |
339:Y |
291 |
| Applying Six-Sigma to supplier development |
351:Y |
293 |
| An empirical investigation of the channels that facilitate a total quality culture |
410:Y |
297 |
| Head and heart in quality implementation – applying the quality philosophy within Irish healthcare institutions |
410:Y |
299 |
| Quality management and organizational context in selected service industries of China |
410:Y |
301 |
| Quality problems and their real costs |
440:Y |
305 |
| Robust two-sample statistics for testing equality of means: A simulation study |
511:Y |
309 |
| Improvement over Bayes prediction in small samples in the presence of model uncertainty |
512:Y |
311 |
| A simple more general boxplot method for identifying outliers |
514:Y |
315 |
| A note on the noncentrality parameter and effect size estimates for the F test in ANOVA |
515:Y |
317 |
| Some perspectives on statistical computing |
519:Y |
319 |
| The interplay of Bayesian and frequentist analysis |
519:Y |
321 |
| Perfect sampling for Bayesian variable selection in a linear regression model |
541:Y |
323 |
| Nonparametric Bayesian data analysis |
551:Y |
325 |
| The Reverend Thomas Bayes, FRS: A biography to celebrate the tercentenary of his birth |
590:Y |
327 |
| Learning curves for processes generating defects requiring reworks |
660:M |
329 |
| Linking perceived quality and customer satisfaction to store traffic and revenue growth |
670:S |
331 |
| The creation of output and quality in services: A framework to analyze information technology-worker systems |
670:S |
333 |
| Integrating quality management practices with knowledge creation processes |
690:Y |
337 |
| Estimation of the European customer satisfaction index: Maximum likelihood versus partial least squares. Application to postal services |
710:Y |
339 |
| Applying sampling to improve software inspections |
730:Y |
343 |
| How to obtain bathtub-shaped failure rate models from normal mixtures |
820:Y |
347 |
| A flexible method for estimating the ROC curve |
820:Y |
349 |
| A new algorithm to generate beta processes |
820:Y |
351 |
