| A Bayesian approach for multiple response surface optimization in the presence of noise variables |
525:Y |
QCAS / 50 / 2 / 215 |
| Two approaches for improving the dual response method in robust parameter design |
525:Y |
QCAS / 50 / 2 / 219 |
| Integrating Kano’s model into web-community service quality |
650:Y |
QCAS / 50 / 2 / 225 |
| A two-sample test for reliability comparison |
820:Y |
QCAS / 50 / 2 / 231 |
| Empirical non-parametric control charts: Estimation effects and corrections |
110:Y |
QCAS / 50 / 1 / 13 |
| Multivariate quality control chart for autocorrelated processes |
111:Y |
QCAS / 50 / 1 / 17 |
| An application and use of economic and statistical X̄ control chart design for the textile yarn industry |
111:Y |
QCAS / 50 / 1 / 21 |
| Modified U charts for monitoring and controlling Poisson attribute processes |
112:Y |
QCAS / 50 / 1 / 23 |
| Sampling design and sample selection through distribution theory |
210:Y |
QCAS / 50 / 1 / 25 |
| A survey technique for estimating the proportion and sensitivity in a dichotomous finite population |
230:Y |
QCAS / 50 / 1 / 31 |
| The future of TQM is past. Can TQM be resurrected? |
310:Y |
QCAS / 50 / 1 / 33 |
| Use basic quality tools to manage your processes |
311:Y |
QCAS / 50 / 1 / 35 |
| The real art of strategic planning |
319:Y |
QCAS / 50 / 1 / 39 |
| As easy as 10001, 2, 3 |
342:Y |
QCAS / 50 / 1 / 51 |
| Using the Malcolm Baldrige National Award in teaching: One criteria, several perspectives |
343:Y |
QCAS / 50 / 1 / 55 |
| Bayes/frequentist compromise decision rules for Gaussian sampling |
512:Y |
QCAS / 50 / 1 / 63 |
| Two-stage designs for identification and estimation of polynomial models |
512:Y |
QCAS / 50 / 1 / 69 |
| Two statistical paradoxes in the interpretation of group differences: Illustrated with medical school admission and licensing data |
512:Y |
QCAS / 50 / 1 / 73 |
| Qualitative ordinal scales: The concept of ordinal range |
519:Y |
QCAS / 50 / 1 / 77 |
| Using logistic regression to evaluate new lid designs |
540:Y |
QCAS / 50 / 1 / 79 |
| Continuous improvements of complex technical systems: A theoretical quality management framework supported by requirements management and health management |
690:Y |
QCAS / 50 / 1 / 109 |
| Quality loss functions for nonnegative variables and their applications |
120:Y |
QCAS / 49 / 6 / 603 |
| Proposal and implementation of the “Science SQC” quality control principle |
190:Y |
QCAS / 49 / 6 / 607 |
| An application of adaptive sampling to estimate highly localized population segments |
210:Y |
QCAS / 49 / 6 / 609 |
| Optimal sampling for repeated binary measurements |
210:Y |
QCAS / 49 / 6 / 611 |
| Estimation with link-tracing sampling design – A Bayesian approach |
210:Y |
QCAS / 49 / 6 / 613 |
| Continuous sampling plans for Markov-dependent production processes under limited inspection capacity |
220:Y |
QCAS / 49 / 6 / 617 |
| A simultaneous analysis of interviewer effects on various data quality indicators with identification of exceptional interviewers |
230:Y |
QCAS / 49 / 6 / 619 |
| 100 years of Juran |
300:Y |
QCAS / 49 / 6 / 623 |
| Quality from scratch: A model for small business |
310:Y |
QCAS / 49 / 6 / 627 |
| The fallacy of universal best practices |
311:Y |
QCAS / 49 / 6 / 631 |
| Development of a measure to assess quality management in certified firms |
313:Y |
QCAS / 49 / 6 / 639 |
| Six Sigma – Strategy for organizational excellence |
319:Y |
QCAS / 49 / 6 / 643 |
| Quality management using ISO 9000 for price indices in the UK |
342:Y |
QCAS / 49 / 6 / 649 |
| ISO 9000: Outside the iron cage |
342:Y |
QCAS / 49 / 6 / 653 |
| ISO 9000 performance in Japanese industries |
342:Y |
QCAS / 49 / 6 / 655 |
| ISO quality standards for measuring architectures |
342:Y |
QCAS / 49 / 6 / 657 |
| An exploratory study on accounting for quality improvement in China |
410:Y |
QCAS / 49 / 6 / 661 |
| The impact of country-of-origin cues on consumer perceptions of product quality: A binational test of the decomposed country-of-origin construct |
490:Y |
QCAS / 49 / 6 / 665 |
| Hypothesis testing in mixture regression models |
511:Y |
QCAS / 49 / 6 / 669 |
| Comparison of two normal populations with restricted means |
512:Y |
QCAS / 49 / 6 / 671 |
| The effectiveness of randomized complete block design |
522:Y |
QCAS / 49 / 6 / 673 |
| Nonparametric regression analysis of uncertain and imprecise data using belief functions |
540:Y |
QCAS / 49 / 6 / 677 |
| Censored generalized Poisson regression model |
540:Y |
QCAS / 49 / 6 / 679 |
| Assessing customer perceptions of website service quality in digital marketing environments |
650:Y |
QCAS / 49 / 6 / 685 |
| Physical distribution service quality in internet retailing: Service pricing, transaction attributes and firm attributes |
690:Y |
QCAS / 49 / 6 / 695 |
| Silver pellets for improving software quality |
850:Y |
QCAS / 49 / 6 / 697 |
| why software reliability growth modeling should define errors of different severity |
850:Y |
QCAS / 49 / 6 / 699 |
| Supporting risks in software project management |
850:Y |
QCAS / 49 / 6 / 703 |
| Design of multiple cause-selecting charts for multistage processes |
110:Y |
QCAS / 49 / 5 / 489 |
| Robust individuals control chart for exploratory analysis |
110:Y |
QCAS / 49 / 5 / 495 |
| The run length distribution of the CUSUM with estimated parameters |
110:Y |
QCAS / 49 / 5 / 499 |
| Alternatives to the multivariate control chart for process dispersion |
111:Y |
QCAS / 49 / 5 / 503 |
| Residual control charts for improving changeover productivity |
111:Y |
QCAS / 49 / 5 / 507 |
| Bayesian sampling plans for exponential distribution based on uniform random censored data |
111:Y |
QCAS / 49 / 5 / 509 |
| Application of neuro-fuzzy inference for process capability evaluation |
120:Y |
QCAS / 49 / 5 / 513 |
| A statistical process control framework for the characterization of variation in batch profiles |
130:Y |
QCAS / 49 / 5 / 515 |
| 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 |
