An accurate algorithm to compute the run length probability distribution, and its convolutions, for a CUSUM chart to control normal mean |
110:Y |
QCAS / 47 / 6 / 605 |
Improvement of process capability through neural networks and robust design: A case study |
120:Y |
QCAS / 47 / 6 / 609 |
SPC – a team effort for process improvement across four Area Control Centers |
190:Y |
QCAS / 47 / 6 / 615 |
CUSUM-based person-fit statistics for adaptive testing |
190:Y |
QCAS / 47 / 6 / 617 |
Generalized case-cohort sampling |
210:Y |
QCAS / 47 / 6 / 623 |
Monitoring of a batch continuous process using mass re-sampling |
210:Y |
QCAS / 47 / 6 / 625 |
Minimum average fraction inspected for TCSP-1 plan |
220:Y |
QCAS / 47 / 6 / 629 |
Multistage ranked set sampling |
220:Y |
QCAS / 47 / 6 / 631 |
Using the sample range as a basis for calculating sample size in power calculations |
240:Y |
QCAS / 47 / 6 / 637 |
Comparison of the 14 deadly diseases and the business excellence model |
311:Y |
QCAS / 47 / 6 / 641 |
Widening the Six Sigma concept: An approach to improve organizational learning |
339:Y |
QCAS / 47 / 6 / 651 |
ISO 9000 certification: The financial performance implications |
342:Y |
QCAS / 47 / 6 / 653 |
It might not be your product |
350:Y |
QCAS / 47 / 6 / 655 |
Customer relationships with service personnel: Do we measure closeness, quality or strength? |
350:Y |
QCAS / 47 / 6 / 657 |
Organizational quality management in emerging economies |
410:Y |
QCAS / 47 / 6 / 663 |
An analysis of quality costs in Australian manufacturing firms |
440:Y |
QCAS / 47 / 6 / 667 |
Accelerated sequential risk-efficient estimation of the mean |
512:Y |
QCAS / 47 / 6 / 669 |
The robustness of the likelihood ratio chi-square test for structural equation models: A meta-analysis |
512:Y |
QCAS / 47 / 6 / 673 |
Optimal estimating equations in mixture distributions accommodating instantaneous or early failures |
512:Y |
QCAS / 47 / 6 / 677 |
Models of association versus causal models for contingency tables |
516:Y |
QCAS / 47 / 6 / 681 |
Improving nonparametric methods by bagging and boosting |
549:Y |
QCAS / 47 / 6 / 683 |
Nonparametric density and regression estimation |
549:Y |
QCAS / 47 / 6 / 685 |
A nonparametric test for size-biasedness in the data |
551:Y |
QCAS / 47 / 6 / 687 |
The strategic function of quality in the management of innovation |
640:Y |
QCAS / 47 / 6 / 693 |
Quality-based synchronization methods of multimedia objects |
670:Y |
QCAS / 47 / 6 / 697 |
Development of a scaling factor identification method using design of experiments for product-family-based product and process design |
690:Y |
QCAS / 47 / 6 / 701 |
The geometric CUSUM chart with sampling inspection for monitoring fraction defective |
110:Y |
QCAS / 47 / 5 / 481 |
The autoregressive T2 chart for monitoring univariate autocorrelated processes |
110:Y |
QCAS / 47 / 5 / 485 |
Relative probability index Crp: An alternative process capability index |
120:Y |
QCAS / 47 / 5 / 489 |
Process capability indices – A review, 1992-2000 |
120:Y |
QCAS / 47 / 5 / 491 |
Sociotechnical reasons for the de-evolution of statistical process control |
190:Y |
QCAS / 47 / 5 / 497 |
Controlling change: Process monitoring and adjustment during transition periods |
190:Y |
QCAS / 47 / 5 / 499 |
Estimators for a Poisson parameter using ranked set sampling |
210:Y |
QCAS / 47 / 5 / 501 |
Quality management system design: A visionary approach |
310:Y |
QCAS / 47 / 5 / 505 |
Design for Six Sigma: 15 lessons learned |
319:Y |
QCAS / 47 / 5 / 509 |
Knowledge dissemination and advancement of organizational excellence |
334:Y |
QCAS / 47 / 5 / 513 |
Communities of practice and organizational performance |
334:Y |
QCAS / 47 / 5 / 515 |
Overview of quality management practices in selected Asian countries |
410:Y |
QCAS / 47 / 5 / 527 |
Total quality management in the West, East and Russia: Are we different? |
410:Y |
QCAS / 47 / 5 / 529 |
A multiple test for comparing two treatments with control: Interval hypotheses approach |
511:Y |
QCAS / 47 / 5 / 531 |
Coupling Bayesian inference and Monte Carlo methods in error propagation |
512:Y |
QCAS / 47 / 5 / 535 |
A diagnostic for assessing the influence of cases on the prediction of missing data |
512:Y |
QCAS / 47 / 5 / 537 |
Variance component testing in multilevel models |
515:Y |
QCAS / 47 / 5 / 541 |
Experimental designs when there are one or more factor constraints |
520:Y |
QCAS / 47 / 5 / 545 |
Switching-one-column follow-up experiments for Plackett-Burman designs |
520:Y |
QCAS / 47 / 5 / 549 |
Sequence-leveled experimental designs at work |
520:Y |
QCAS / 47 / 5 / 551 |
Regression estimators in extreme and median ranked set samples |
540:Y |
QCAS / 47 / 5 / 553 |
Flexible regression modeling with adaptive logistic basis functions |
543:Y |
QCAS / 47 / 5 / 557 |
A study on the effect of power transformation in the ARMA (p, q) model |
544:Y |
QCAS / 47 / 5 / 561 |
A framework for evaluation and prediction of software process improvement success |
730:Y |
QCAS / 47 / 5 / 575 |
Integrating scenario-based and measurement-based software product assessment |
730:Y |
QCAS / 47 / 5 / 577 |
The relationship between ISO/IEC 15504 process capability levels, ISO 9001 certification and organization size: An empirical study |
730:Y |
QCAS / 47 / 5 / 579 |
An empirical evaluation of the ISO/IEC 15504 assessment model |
730:Y |
QCAS / 47 / 5 / 583 |
Foresight with Delphi surveys in Japan |
740:Y |
QCAS / 47 / 5 / 587 |
Six Sigma rolled throughput yield |
790:Y |
QCAS / 47 / 5 / 589 |
A computer program to calculate two-stage short-run control chart factors for (X̄, R) charts |
111:Y |
QCAS / 47 / 4 / 361 |
Median rankit control chart for Weibull distribution |
111:Y |
QCAS / 47 / 4 / 365 |
On the two stage p-chart |
112:Y |
QCAS / 47 / 4 / 369 |
Large-sample interval estimators for process capability indices |
120:Y |
QCAS / 47 / 4 / 371 |
Applying Hotelling’s T2 statistic to batch processes |
130:Y |
QCAS / 47 / 4 / 373 |
Robustness of robust process optimization |
190:Y |
QCAS / 47 / 4 / 381 |
Are they really as bad as they seem? Nonresponse rates at the end of the twentieth century |
230:Y |
QCAS / 47 / 4 / 385 |
A graphical approach for incorporating prior knowledge when determining a sample size for the assessment of batched products |
240:Y |
QCAS / 47 / 4 / 389 |
Systems approaches to total quality management |
310:Y |
QCAS / 47 / 4 / 393 |
Relationships between implementation of TQM, JIT and TPM and manufacturing performance |
311:Y |
QCAS / 47 / 4 / 395 |
Six Sigma black belts: What do they need to know? |
319:Y |
QCAS / 47 / 4 / 399 |
Measuring the relationship between firm perceived quality and customer satisfaction and its influence on purchase intentions |
332:Y |
QCAS / 47 / 4 / 407 |
Joint adoption of ISO 14000-ISO 9000 occupational risk prevention practices in Spanish industrial companies: A descriptive study |
342:Y |
QCAS / 47 / 4 / 411 |
Journey to the Baldrige |
343:Y |
QCAS / 47 / 4 / 413 |
Further evidence on the validity of the theoretical models underlying the Baldrige criteria |
343:Y |
QCAS / 47 / 4 / 415 |
TQM implementation: An empirical examination and proposed generic model |
410:Y |
QCAS / 47 / 4 / 419 |
A linear structural modelling of total quality management practices in manufacturing companies in Malaysia |
410:Y |
QCAS / 47 / 4 / 421 |
Global perspectives on quality |
490:Y |
QCAS / 47 / 4 / 425 |
Optimal split-plot designs |
520:Y |
QCAS / 47 / 4 / 429 |
Testing multiple dispersion effects in unreplicated fractional factorial designs |
524:Y |
QCAS / 47 / 4 / 433 |
Local linear regression for estimating time series data |
544:Y |
QCAS / 47 / 4 / 437 |
Data mining on time series: An illustration using fast-food restaurant franchise data |
544:Y |
QCAS / 47 / 4 / 441 |
Quantifying quality growth |
610:Y |
QCAS / 47 / 4 / 443 |
Defining and measuring employability |
630:Y |
QCAS / 47 / 4 / 445 |
Fast simulation of Markov chains with small transition probabilities |
810:Y |
QCAS / 47 / 4 / 453 |