| Data quality in statistical process control |
190:Y |
QCAS / 49 / 5 / 519 |
| Testing for homogeneity of relative differences under inverse sampling |
210:Y |
QCAS / 49 / 5 / 523 |
| Inverse double sampling from mixture populations |
210:Y |
QCAS / 49 / 5 / 527 |
| Using system dynamics to illustrate Deming’s system of profound knowledge |
310:Y |
QCAS / 49 / 5 / 529 |
| Quality management practices in Indian ISO 9000 certified companies: An empirical evaluation |
342:Y |
QCAS / 49 / 5 / 537 |
| Motivation and efficiency of quality management systems implementation: A study of Lithuanian organizations |
410:Y |
QCAS / 49 / 5 / 539 |
| Quality improvement under budgetary and life-cycle restraints |
440:Y |
QCAS / 49 / 5 / 545 |
| John W. Tukey and data analysis |
510:Y |
QCAS / 49 / 5 / 549 |
| John Tukey and robustness |
510:Y |
QCAS / 49 / 5 / 553 |
| A probability index of the robustness of a causal inference |
512:Y |
QCAS / 49 / 5 / 557 |
| Simple pilot procedures for the avoidance of disconnected experimental designs |
520:Y |
QCAS / 49 / 5 / 559 |
| Factorial experiments when factor levels are not necessarily reset |
520:Y |
QCAS / 49 / 5 / 561 |
| Multiresponse robust design: A general framework based on combined array |
529:Y |
QCAS / 49 / 5 / 563 |
| Empiricial study of QS-9000 using principal component analysis and robust regression |
540:Y |
QCAS / 49 / 5 / 567 |
| Finite sample properties for the semiparametric estimation of the intercept of a censored regression model |
540:Y |
QCAS / 49 / 5 / 571 |
| Knowledge conversion and practical use with information technology in Korean companies |
650:Y |
QCAS / 49 / 5 / 573 |
| Quality control in a semi-continuous polymer production process |
660:Y |
QCAS / 49 / 5 / 575 |
| Clustering of event sequences for failure root cause analysis |
740:Y |
QCAS / 49 / 5 / 583 |
| On the reliability of a two-component series system |
820:Y |
QCAS / 49 / 5 / 587 |
| On the application of stochastic models in nuclear power plant maintenance |
840:Y |
QCAS / 49 / 5 / 591 |
| Performance evaluation of dynamic monitoring systems: The waterfall chart |
110:Y |
QCAS / 49 / 4 / 361 |
| The reverse moving average control chart for monitoring autocorrelated processes |
110:Y |
QCAS / 49 / 4 / 365 |
| The generally weighted moving average control chart for detecting small shifts in the process mean |
110:Y |
QCAS / 49 / 4 / 369 |
| A control chart method for ordinal data |
111:Y |
QCAS / 49 / 4 / 375 |
| Optimum mean location in a poor-capability process |
120:Y |
QCAS / 49 / 4 / 377 |
| Process capability analysis of a product family of larger-the-better |
120:Y |
QCAS / 49 / 4 / 379 |
| An empirical indicator of product appearance for process control |
190:Y |
QCAS / 49 / 4 / 381 |
| Context-based statistical process control: A monitoring procedure for state-dependent processes |
190:Y |
QCAS / 49 / 4 / 383 |
| Finding optimal estimators in survey sampling using unbiased estimators of zero |
210:Y |
QCAS / 49 / 4 / 387 |
| Optimal sampling design under a spatial correlation model |
210:Y |
QCAS / 49 / 4 / 391 |
| Two-phase list-assisted RDD sampling |
210:Y |
QCAS / 49 / 4 / 395 |
| A new business excellence model from an old Indian philosophy |
310:Y |
QCAS / 49 / 4 / 401 |
| The primary drivers for continuous improvement: The reduction of the triad of waste |
310:Y |
QCAS / 49 / 4 / 403 |
| A process for the deployment of corporate quality objectives |
321:Y |
QCAS / 49 / 4 / 407 |
| Assessing workforce perception of total quality-based performance measurement: A case study of a customer equipment servicing organization |
334:Y |
QCAS / 49 / 4 / 409 |
| ISO 9000: Some statistical results for a worldwide phenomenon |
342:Y |
QCAS / 49 / 4 / 411 |
| Effects of ISO 9000 certification on firms’ performance: A vision from the market |
342:Y |
QCAS / 49 / 4 / 413 |
| Levels of quality management in certified firms |
342:Y |
QCAS / 49 / 4 / 415 |
| Can TQM lift a sinking ship? A case study |
410:Y |
QCAS / 49 / 4 / 421 |
| Reengineering of the laundry service at a university campus: A continuous-improvement quality-management methodology |
420:Y |
QCAS / 49 / 4 / 427 |
| Quality improvement by reducing variation: A case study |
430:Y |
QCAS / 49 / 4 / 429 |
| Management tools for SMEs |
430:Y |
QCAS / 49 / 4 / 431 |
| Testing for outliers from a mixture distribution when some data are missing |
514:Y |
QCAS / 49 / 4 / 443 |
| Selecting 2m-p designs using a minimum aberration criterion when some two-factor interations are important m-p is superscript |
520:Y |
QCAS / 49 / 4 / 447 |
| Recognition and importance of restrictions on randomization in industrial experimentation |
520:Y |
QCAS / 49 / 4 / 451 |
| Non-parametric estimation of distance between groups |
551:Y |
QCAS / 49 / 4 / 453 |
| Managing homo sapiens |
630:Y |
QCAS / 49 / 4 / 457 |
| A student-centered conceptual model of service quality in higher education |
670:Y |
QCAS / 49 / 4 / 459 |
| Environmental uncertainty, strategic orientation and quality management: A contingency model |
690:Y |
QCAS / 49 / 4 / 461 |
| Product robust design and process robust design: Are they the same? (No.) |
690:Y |
QCAS / 49 / 4 / 463 |
| A conceptual framework for total quality management in software organizations |
690:Y |
QCAS / 49 / 4 / 465 |
| Determinants of software quality: Customer’s perspective |
850:Y |
QCAS / 49 / 4 / 469 |
| Economic design of CSP-1 plan under the dependent production process and linear inspection cost |
111:Y |
QCAS / 49 / 3 / 241 |
| Multidimensional mixed sampling plans |
112:Y |
QCAS / 49 / 3 / 243 |
| Modified nominal/target control charts – A case study in supplier development |
112:Y |
QCAS / 49 / 3 / 245 |
| Increasing the sensitivity of control chart for fraction nonconforming |
112:Y |
QCAS / 49 / 3 / 247 |
| Constrained inverse adaptive cluster sampling |
210:Y |
QCAS / 49 / 3 / 249 |
| Weighting methods |
210:Y |
QCAS / 49 / 3 / 255 |
| Monitoring a multiple stream filling operation using fractional samples |
210:Y |
QCAS / 49 / 3 / 259 |
| Two-step sequential sampling |
210:Y |
QCAS / 49 / 3 / 261 |
| Conditional and unconditional analysis of some small area estimators in complex sampling |
210:Y |
QCAS / 49 / 3 / 265 |
| A method for estimating design-based sampling variances for surveys with weighting, poststratification and raking |
210:Y |
QCAS / 49 / 3 / 269 |
| Using weights to adjust for sample selection when auxiliary information is available |
210:Y |
QCAS / 49 / 3 / 275 |
| Estimating general variable acceptance sampling plans by bootstrap methods |
240:Y |
QCAS / 49 / 3 / 277 |
| An application of Edgeworth expansion in Bayesian inferences. Optimal sample sizes in clinical trials |
240:Y |
QCAS / 49 / 3 / 283 |
| Best practices in process improvement |
310:Y |
QCAS / 49 / 3 / 285 |
| Critical factors and results of quality management: An empirical study |
311:Y |
QCAS / 49 / 3 / 287 |
| Matching games to gamers with quality function deployment |
323:Y |
QCAS / 49 / 3 / 289 |
| Quality function deployment: A teamwork approach |
323:Y |
QCAS / 49 / 3 / 291 |
| Quality improvement through quality audit |
341:Y |
QCAS / 49 / 3 / 295 |
| Transforming quality for development |
430:Y |
QCAS / 49 / 3 / 303 |
| The development of an economic quality cost model |
440:Y |
QCAS / 49 / 3 / 305 |
| Statistical fraud detection: A review |
510:Y |
QCAS / 49 / 3 / 313 |
| Empirical likelihood confidence regions for comparison distributions and ROC curves |
511:Y |
QCAS / 49 / 3 / 315 |
| A general Bayes exponential inference model for accelerated life testing |
512:Y |
QCAS / 49 / 3 / 319 |
| Constructing meta-models for computer experiments |
520:Y |
QCAS / 49 / 3 / 321 |
| Evaluation of three lack of fit tests in linear regression models |
541:Y |
QCAS / 49 / 3 / 323 |
| Time series modelling of daily tax revenues |
544:Y |
QCAS / 49 / 3 / 325 |
| Monitoring cyclical processes. A nonparametric approach |
551:Y |
QCAS / 49 / 3 / 327 |
| Empirically testing some main user-related factors for systems development quality |
730:Y |
QCAS / 49 / 3 / 333 |
