| Correlation in a Bayesian framework |
529:Y |
QCAS / 47 / 1 / 87 |
| On optimal third order rotatable designs |
529:Y |
QCAS / 47 / 1 / 91 |
| Exploring some determinants of ES quality |
650:Y |
QCAS / 47 / 1 / 93 |
| Measure for Six Sigma success |
790:Y |
QCAS / 47 / 1 / 107 |
| Evaluating complex system reliability using reliability block diagrams: Simulation when little or no failure data are available |
820:Y |
QCAS / 47 / 1 / 109 |
| Selective maintenance for support equipment involving multiple maintenance actions |
840:Y |
QCAS / 47 / 1 / 111 |
| Multicriteria decision making on maintenance: Spares and contracts planning |
840:Y |
QCAS / 47 / 1 / 113 |
| Small sample properties of an adaptive filter applied to low volume SPC |
100:Y |
QCAS / 46 / 6 / 601 |
| Process monitoring of exponentially distributed characteristics through an optimal normalizing transformation |
100:Y |
QCAS / 46 / 6 / 603 |
| Evaluation of the run-length probability distribution for CUSUM charts: Assessing chart performance |
111:Y |
QCAS / 46 / 6 / 607 |
| Detection of known items in adaptive testing with a statistical quality control method |
111:Y |
QCAS / 46 / 6 / 611 |
| Adaptive sample size control charts for attributes |
112:Y |
QCAS / 46 / 6 / 613 |
| Performance problems of families of non-normal process capability indices |
120:Y |
QCAS / 46 / 6 / 615 |
| Acceptance sampling based on life tests: Log-logistic model |
210:Y |
QCAS / 46 / 6 / 619 |
| Common myths about Six Sigma |
311:Y |
QCAS / 46 / 6 / 621 |
| Illustration of Six Sigma assistance on a design project |
311:Y |
QCAS / 46 / 6 / 623 |
| Common myths about Six Sigma |
319:Y |
QCAS / 46 / 6 / 627 |
| Empowerment in total quality: Designing and implementing effective employee decision-making strategies |
334:Y |
QCAS / 46 / 6 / 629 |
| How a regional quality award leads to business success and regional prosperity: The Danbury Trophy |
343:Y |
QCAS / 46 / 6 / 633 |
| Foundations of the American Customer Satisfaction Index |
350:Y |
QCAS / 46 / 6 / 637 |
| Approaches of the Portuguese companies for relating customer satisfaction with business results |
350:Y |
QCAS / 46 / 6 / 641 |
| The effects of satisfaction and loyalty on profits and growth: Products versus services |
350:Y |
QCAS / 46 / 6 / 645 |
| Firm characteristics, total quality management and financial performance |
410:Y |
QCAS / 46 / 6 / 655 |
| Stabilizing bootstrap-t confidence intervals for small samples |
511:Y |
QCAS / 46 / 6 / 667 |
| An exact iterated bootstrap algorithm for small-sample bias reduction |
512:Y |
QCAS / 46 / 6 / 673 |
| Assessment of impact of measurement variability in the presence of multiple sources of product variability |
515:Y |
QCAS / 46 / 6 / 679 |
| Experimental designs optimally balanced for trend |
520:Y |
QCAS / 46 / 6 / 685 |
| A note on slope rotatability over all directions |
525:Y |
QCAS / 46 / 6 / 687 |
| Price-endings when prices signal quality |
640:Y |
QCAS / 46 / 6 / 689 |
| Test case selection with and without replacement |
730:Y |
QCAS / 46 / 6 / 697 |
| A class of weighted dependence measures for bivariate failure time data |
820:Y |
QCAS / 46 / 6 / 699 |
| Choosing a lower specification limit for an exponential process with ‘the larger the better’ tolerance: A simple, exact solution |
110:Y |
QCAS / 46 / 5 / 481 |
| A new SPC monitoring method: The ARMA chart |
111:Y |
QCAS / 46 / 5 / 485 |
| Two alternatives to the Shewhart X̄ control chart |
111:Y |
QCAS / 46 / 5 / 489 |
| A demerits control chart for autocorrelated data |
112:Y |
QCAS / 46 / 5 / 491 |
| Control charts and feedback adjustments for a jump disturbance model |
119:Y |
QCAS / 46 / 5 / 495 |
| Determination of the optimal process mean with the consideration of variance reduction and process capability |
120:Y |
QCAS / 46 / 5 / 499 |
| Understanding the hierarchy of process control |
190:Y |
QCAS / 46 / 5 / 503 |
| Using order statistics to assess the sampling variability of personnel selection utility estimates |
210:Y |
QCAS / 46 / 5 / 505 |
| Clinical trials and sample size considerations: Another perspective |
240:Y |
QCAS / 46 / 5 / 507 |
| Too much or too little ambiguity: The language of total quality management |
311:Y |
QCAS / 46 / 5 / 513 |
| Obstacles to implementing quality |
319:Y |
QCAS / 46 / 5 / 515 |
| Checklists: A perfect tool to tune up your quality manual |
320:Y |
QCAS / 46 / 5 / 517 |
| Integrating Kano’s model in the planning matrix of quality function deployment |
323:Y |
QCAS / 46 / 5 / 519 |
| Improvement in organizational performance and self-assessment practices by selected American firms |
329:Y |
QCAS / 46 / 5 / 521 |
| Teaching strategy and policy using the Baldrige Award criteria |
343:Y |
QCAS / 46 / 5 / 523 |
| Measuring customer satisfaction: Why, what and how |
350:Y |
QCAS / 46 / 5 / 525 |
| An empirically derived model of the role of IS networks in business process improvement initiatives |
420:Y |
QCAS / 46 / 5 / 535 |
| Three approaches to analyze quality data originating in non-normal populations |
510:Y |
QCAS / 46 / 5 / 547 |
| Practical small-sample asymptotics for distributions used in life-data analysis |
512:Y |
QCAS / 46 / 5 / 551 |
| Using ranges to estimate variability |
515:Y |
QCAS / 46 / 5 / 555 |
| Quality improvement through design of experiments: A case study |
520:Y |
QCAS / 46 / 5 / 559 |
| Analysis of a difficult factorial designed experiment from polyurethane product research |
524:Y |
QCAS / 46 / 5 / 563 |
| The use of response surface designs in the selection of optimum tolerance allocation |
525:Y |
QCAS / 46 / 5 / 567 |
| Phase I analysis for autocorrelated processes |
529:Y |
QCAS / 46 / 5 / 569 |
| Supercharging your Pareto analysis |
531:Y |
QCAS / 46 / 5 / 573 |
| Asymmetric confidence bands for simple linear regression over bounded intervals |
540:Y |
QCAS / 46 / 5 / 575 |
| The universal safeness of test allocation strategies for partition testing |
730:Y |
QCAS / 46 / 5 / 583 |
| Improved inspection schemes for deteriorating equipment |
810:Y |
QCAS / 46 / 5 / 585 |
| Evaluating complex system reliability using reliability block diagram simulation when little or no failure data are available |
820:Y |
QCAS / 46 / 5 / 587 |
| On the value of an item subject to general repair or maintenance |
840:Y |
QCAS / 46 / 5 / 589 |
| SPC modified with percent tolerance precontrol charts |
110:Y |
QCAS / 46 / 4 / 361 |
| Estimating the process standard deviation based on Downton’s estimator |
110:Y |
QCAS / 46 / 4 / 363 |
| Economic-statistical design of X̄ charts for non-normal data by considering quality loss |
111:Y |
QCAS / 46 / 4 / 365 |
| CUSUM control charts with variable sample sizes and sampling intervals |
111:Y |
QCAS / 46 / 4 / 371 |
| Developing control charts and illustrating Type I and Type II errors |
112:Y |
QCAS / 46 / 4 / 375 |
| Comparison of three multivariate process capability indices |
120:Y |
QCAS / 46 / 4 / 379 |
| Estimation of the change point of a normal process mean in SPC applications |
130:Y |
QCAS / 46 / 4 / 383 |
| Controversies and contradictions in statistical process control |
190:Y |
QCAS / 46 / 4 / 387 |
| Stratification by size revisited |
210:Y |
QCAS / 46 / 4 / 389 |
| Sequential selection of an increasing sequence from a multidimensional random sample |
210:Y |
QCAS / 46 / 4 / 391 |
| Design of a CSP-1 plan based on regret-balanced criterion |
220:Y |
QCAS / 46 / 4 / 393 |
| The level-based stratified sampling plan |
220:Y |
QCAS / 46 / 4 / 397 |
| Minimax strategies in survey sampling |
230:Y |
QCAS / 46 / 4 / 399 |
| Sample size calculations for failure time random variables in non-randomized studies |
240:Y |
QCAS / 46 / 4 / 401 |
| Business excellence through customer satisfaction |
313:Y |
QCAS / 46 / 4 / 403 |
| Optimization impossible? |
323:Y |
QCAS / 46 / 4 / 411 |
| Behind the learning curve: Linking learning activities to waste reduction |
330:Y |
QCAS / 46 / 4 / 413 |
| ISO 9000: What is its impact on performance? |
342:Y |
QCAS / 46 / 4 / 419 |
| A detailed trends analysis of national quality awards world-wide |
343:Y |
QCAS / 46 / 4 / 421 |
