| A multivariate control chart for expected changes over time |
111:Y |
QCAS / 48 / 5 / 495 |
| Improved control charts for attributes |
112:Y |
QCAS / 48 / 5 / 497 |
| Process capability improvement for multistage processes |
120:Y |
QCAS / 48 / 5 / 499 |
| Random sampling from low discrepancy sequences: Applications to option pricing |
210:Y |
QCAS / 48 / 5 / 501 |
| Robust estimation in very small samples |
210:Y |
QCAS / 48 / 5 / 503 |
| A simulation-based approach to Bayesian sample size determination for performance under a given model and for separating models |
240:Y |
QCAS / 48 / 5 / 505 |
| The pursuit of sustainable business excellence: Guiding transformation for effective organizational change |
310:Y |
QCAS / 48 / 5 / 509 |
| Do teams and Six Sigma go together? |
332:Y |
QCAS / 48 / 5 / 511 |
| The stock market’s reaction to quality certification: Empirical evidence from Spain |
342:Y |
QCAS / 48 / 5 / 515 |
| Estimating interrater reliability examiner scoring for a state quality award |
343:Y |
QCAS / 48 / 5 / 519 |
| Customer process approach to building loyalty |
350:Y |
QCAS / 48 / 5 / 523 |
| Implementation obstacles for a work-development-oriented TQM strategy |
410:Y |
QCAS / 48 / 5 / 529 |
| Cost-effectiveness based performance evaluation for suppliers and operations |
440:Y |
QCAS / 48 / 5 / 537 |
| Setting confidence intervals for bounded parameters |
511:Y |
QCAS / 48 / 5 / 539 |
| Goodness-of-fit tests for parametric models based on biased samples |
512:Y |
QCAS / 48 / 5 / 543 |
| The weighted likelihood |
512:Y |
QCAS / 48 / 5 / 545 |
| Modeling a response with self-generated and externally generated sources of variation |
515:Y |
QCAS / 48 / 5 / 547 |
| Design optimization using ANOVA |
520:Y |
QCAS / 48 / 5 / 549 |
| Minimal design augmentation schemes to resolve complex aliasing in industrial experiments |
520:Y |
QCAS / 48 / 5 / 551 |
| Resistant block designs |
522:Y |
QCAS / 48 / 5 / 553 |
| Experimental designs for constrained regions |
529:Y |
QCAS / 48 / 5 / 555 |
| Robust stepwise regression |
540:Y |
QCAS / 48 / 5 / 557 |
| Relationships between blanking force and part geometry vs. clearance, tool wear and sheet thickness |
660:Y |
QCAS / 48 / 5 / 565 |
| Acquiring new technologies and capabilities: A grounded model of acquisition implementation |
690:Y |
QCAS / 48 / 5 / 581 |
| Development and validation of a perceived business quality measurement instrument |
710:Y |
QCAS / 48 / 5 / 585 |
| NASA’s experience in improving the microgravity flight development process utilizing the language processing method |
740:Y |
QCAS / 48 / 5 / 589 |
| Semiparametric and parametric transformation models for comparing diagnostic markers with paired design |
820:Y |
QCAS / 48 / 5 / 593 |
| Percent defective summary chart: Solving a real shop problem |
110:Y |
QCAS / 48 / 4 / 361 |
| Computing the percentage points of the run-length distributions of multivariate CUSUM control charts |
111:Y |
QCAS / 48 / 4 / 363 |
| A control chart method for ordinal data |
111:Y |
QCAS / 48 / 4 / 365 |
| One-sided control charts for the mean of positively skewed distributions |
111:Y |
QCAS / 48 / 4 / 367 |
| Some hypothesis tests for the covariance matrix when the dimension is large compared to the sample size |
210:Y |
QCAS / 48 / 4 / 369 |
| Virtual inspection: Optimum sample size for POD experiment |
240:Y |
QCAS / 48 / 4 / 371 |
| SPC monitoring of MMSE- and PI-controlled processes |
290:Y |
QCAS / 48 / 4 / 375 |
| Do quality consultants offer a quality service? |
319:Y |
QCAS / 48 / 4 / 383 |
| Team sense-making: A mental model for navigating uncharted territories |
332:Y |
QCAS / 48 / 4 / 387 |
| An organizational profitability, productivity, performance (PPP) model: Going beyond TQM and BPR |
334:Y |
QCAS / 48 / 4 / 391 |
| Customer relationship management: In B2C markets, often less is more |
350:Y |
QCAS / 48 / 4 / 397 |
| Proposing a compact instrument to measure supplier-customer relationships in the context of TQM activities |
350:Y |
QCAS / 48 / 4 / 399 |
| Impact of supply chain sensitivity to quality certification on quality management practices and performances |
351:Y |
QCAS / 48 / 4 / 403 |
| Employee participation systems in Spain. Past, present and future. |
410:Y |
QCAS / 48 / 4 / 415 |
| Deming and the proactive statistician |
510:Y |
QCAS / 48 / 4 / 421 |
| Hypothesis testing about proportions in two finite populations |
512:Y |
QCAS / 48 / 4 / 425 |
| Evaluation of measurement system with a small number of observers |
512:Y |
QCAS / 48 / 4 / 429 |
| Bayesian measures of model complexity and fit |
519:Y |
QCAS / 48 / 4 / 431 |
| A case study in design of experiments: Improving the manufacture of vicose fiber |
520:Y |
QCAS / 48 / 4 / 433 |
| Statistical thinking in practice: Handling variability in experimental situations |
521:Y |
QCAS / 48 / 4 / 435 |
| On exchangeable, causal and cascading failures |
820:Y |
QCAS / 48 / 4 / 467 |
| How to estimate the parameters of a Weibull distribution |
820:Y |
QCAS / 48 / 4 / 469 |
| The cost of errors in software development: Evidence from industry |
850:Y |
QCAS / 48 / 4 / 473 |
| Proportional integral derivative charts for process monitoring |
110:Y |
QCAS / 48 / 3 / 241 |
| Robustness to non-normality of the multivariate EWMA control chart |
111:Y |
QCAS / 48 / 3 / 245 |
| The statistical design of EWMA control charts with estimated parameters |
111:Y |
QCAS / 48 / 3 / 249 |
| Using factor effects analysis to improve statistical process control |
190:Y |
QCAS / 48 / 3 / 253 |
| Reconciliation of asymptotics for unequal probability sampling without replacement |
210:Y |
QCAS / 48 / 3 / 255 |
| Distribution-free tests for cluster samples of ordinal responses |
210:Y |
QCAS / 48 / 3 / 259 |
| Yin-yang: A dialectical approach to total quality management |
311:Y |
QCAS / 48 / 3 / 263 |
| Developing strategic quality management: A research agenda |
321:Y |
QCAS / 48 / 3 / 265 |
| Culture surveys: Monitoring and enhancing the impact of change programs |
330:Y |
QCAS / 48 / 3 / 273 |
| Performance measurement system |
334:Y |
QCAS / 48 / 3 / 277 |
| The reaction of the Portuguese stock market to ISO 9000 certification |
342:Y |
QCAS / 48 / 3 / 279 |
| Customization as a business strategy: A barrier to customer integration in product development |
350:Y |
QCAS / 48 / 3 / 285 |
| Adoption of a quality assurance scheme and its effect on firm performance: A study of Greek firms implementing ISO 9000 |
430:Y |
QCAS / 48 / 3 / 289 |
| Competitive priorities of enterprises in mainland China |
490:Y |
QCAS / 48 / 3 / 293 |
| Robust estimators of the mode and skewness of continuous data |
512:Y |
QCAS / 48 / 3 / 297 |
| Measuring dependency with volume tests |
512:Y |
QCAS / 48 / 3 / 303 |
| A multiple-comparisons method based on the distribution of the root node distance of a binary tree |
519:Y |
QCAS / 48 / 3 / 305 |
| Follow-up designs to resolve confounding in multifactor experiments |
520:Y |
QCAS / 48 / 3 / 311 |
| The role of statistical design of experiments in Six Sigma: Perspectives of a practitioner |
520:Y |
QCAS / 48 / 3 / 313 |
| Missing observations in Youden square designs |
522:Y |
QCAS / 48 / 3 / 317 |
| Analyzing unreplicated blocked or split-plot fractional factorial designs |
524:Y |
QCAS / 48 / 3 / 319 |
| Optimal few-stage designs |
529:Y |
QCAS / 48 / 3 / 323 |
| Methods for selecting crossover designs with applications to an experiment with two factors in a split plot |
529:Y |
QCAS / 48 / 3 / 325 |
| Modularity, product variety, production volume and component sourcing: Theorizing beyond generic prescriptions |
640:Y |
QCAS / 48 / 3 / 337 |
| Enhancement of web design quality through the QFD approach |
650:Y |
QCAS / 48 / 3 / 341 |
| Bayesian enhanced strategic decision making for reliability |
820:Y |
QCAS / 48 / 3 / 345 |
| Nonhomogeneous birth processes and l∞-spherical densities, with applications in reliability theory |
820:Y |
QCAS / 48 / 3 / 349 |
| Optimal maintenance and operation of a system with backup components |
840:Y |
QCAS / 48 / 3 / 351 |
| Monitoring processes with data censored owing to competing risks by using exponentially weighted moving average control charts |
111:Y |
QCAS / 48 / 2 / 121 |
| Using factor effects analysis to improve statistical process control |
190:Y |
QCAS / 48 / 2 / 123 |
