| Incorporating runs rules into Hotelling’s X2 control charts |
111:Y |
QCAS / 48 / 6 / 601 |
| A group of moving averages control plan for signaling varying location shifts |
111:Y |
QCAS / 48 / 6 / 605 |
| Adapting EWMA control charts for batch-correlated data |
111:Y |
QCAS / 48 / 6 / 609 |
| Bootstrap confidence limits for short-run capability indices |
120:Y |
QCAS / 48 / 6 / 613 |
| Statistical control of a Six Sigma process |
190:Y |
QCAS / 48 / 6 / 617 |
| Still rolling: Leslie Kish’s “rolling samples” and the American Community Survey |
210:Y |
QCAS / 48 / 6 / 621 |
| On a version of cluster sampling and its practical use |
210:Y |
QCAS / 48 / 6 / 625 |
| New paradigms (models) for probability sampling |
230:Y |
QCAS / 48 / 6 / 629 |
| The importance of a quality culture |
313:Y |
QCAS / 48 / 6 / 633 |
| Quality in the public sector from an employee’s perspective: Results from a transnational comparison |
340:Y |
QCAS / 48 / 6 / 639 |
| A proposed model of consumer loyalty in the retailing sector based on the Kuwaiti experience |
350:Y |
QCAS / 48 / 6 / 641 |
| Total-costs based evaluation system of supplier quality performance |
351:Y |
QCAS / 48 / 6 / 643 |
| A survey of TQM practices in the Malaysian electrical and electronic industry |
410:Y |
QCAS / 48 / 6 / 647 |
| A study in the efficiency evaluation of total quality management activities in Korean companies |
410:Y |
QCAS / 48 / 6 / 651 |
| Testing non-nested multivariate effect size models in meta-analysis |
510:Y |
QCAS / 48 / 6 / 655 |
| Strategies and approaches for small area statistics |
512:Y |
QCAS / 48 / 6 / 657 |
| Application of analysis of means (ANOM)to nested designs for improving the visualization and understanding of the sources of variation of chemical and pharmaceutical processes |
520:Y |
QCAS / 48 / 6 / 661 |
| Operating window experiments: A novel approach to quality improvement |
520:Y |
QCAS / 48 / 6 / 665 |
| 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 |
| Retrospective factorial fitting and reverse design of experiments |
529:Y |
QCAS / 48 / 6 / 675 |
| Bias reduction in standard errors for linear regression with multi-stage samples |
541:Y |
QCAS / 48 / 6 / 677 |
| The influence of the image of a product’s region of origin on product evaluation |
640:Y |
QCAS / 48 / 6 / 683 |
| The virtual integrated design method |
720:Y |
QCAS / 48 / 6 / 697 |
| A review and extension of control limit methods for nonnormal distributions |
110:Y |
QCAS / 48 / 5 / 485 |
| A computer program to calculate two-stage short-run control chart factors for (X̄, v) and (X̄, √ v) charts |
110:Y |
QCAS / 48 / 5 / 487 |
| Variation charts for multivariate processes |
111:Y |
QCAS / 48 / 5 / 489 |
| Proposed short runs multivariate control charts for the process mean |
111:Y |
QCAS / 48 / 5 / 491 |
| 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 |
