| Nonparametric CUSUM and EWMA control charts for detecting mean shifts |
110:Y |
429 |
| A nonparametric change-point control chart |
110:Y |
431 |
| Likelihood ratio based distribution free EWMA control charts |
110:Y |
433 |
| Self starting CUSCORE control charts for individual multivariate observations |
110:Y |
435 |
| Geostatistical inference under preferential sampling |
210:Y |
437 |
| Combining information from multiple surveys by using regression for efficient small domain estimation |
230:Y |
439 |
| Scale adjustments for classifiers in high-dimensional, low sample size settings |
290:Y |
441 |
| Quality and standards: Clarity, comparability and responsibility |
311:Y |
443 |
| Quality assurance for all |
311:Y |
447 |
| Developing full-spectrum innovation capability for survival and success in the global economy |
313:Y |
449 |
| Taking the reins |
314:A |
453 |
| Keep It simple |
319:Y |
455 |
| Two in one |
342:A |
457 |
| Sustainable future |
342:Y |
461 |
| On Baldrige core values and commitment to quality |
343:A |
465 |
| Responsible SMEs? Quality award model as a tool |
343:A |
469 |
| On the plus side |
343:M |
473 |
| Jersey score |
343:Y |
475 |
| An exploratory analysis of preliminary blinded applicant scoring data from the Baldrige national quality program |
343:Y |
477 |
| Bulls eye |
350:Y |
481 |
| What’s the big idea? |
390:Y |
485 |
| TQM, knowledge management and collaborative commerce adoption: A literature review and research framework |
410:Y |
489 |
| Karl Pearson’s meta analysis revisited |
510:Y |
493 |
| Assessment of a binary measurement system in current use |
510:Y |
495 |
| Optimal testing of multiple hypotheses with common effect direction |
511:Y |
497 |
| Statistical inference for transit system origin-destination matrices |
512:Y |
499 |
| The impact of Levene’s test of equality of variances on statistical theory and practice |
515:Y |
503 |
| Multi-index binary response analysis of large data sets |
519:Y |
507 |
| Optimum designs versus orthogonal arrays for main effects and two-factor interactions |
520:Y |
509 |
| Bayesian optimal design for change point problems |
520:Y |
511 |
| Sensitivity analysis of optimal designs for accelerated life testing |
520:Y |
513 |
| Multi-sample simple step-stress experiment under time constraints |
521:Y |
515 |
| A general criterion for factorial designs under model uncertainty |
524:Y |
517 |
| Analyzing designed experiments in distance sampling |
529:Y |
521 |
| Maximum likelihood estimation of regression parameters with spatially dependent discrete data |
549:Y |
523 |
| Nonparametric additive regression for repeatedly measured data |
549:Y |
525 |
| Incorporating covariates in flowgraph models: Applications to recurrent event data |
552:Y |
527 |
| Real–time measurement of business conditions |
610:A |
529 |
| Do leading indicators lead peaks more than troughs? |
610:Y |
531 |
| Flush with success |
660:M |
533 |
| Has external quality assurance actually improved quality in higher education over the course of 20 years of the ‘quality revolution’? |
680:T |
535 |
| Students’ roles in maintaining quality and in enhancing learning: Is there a tension? |
680:T |
537 |
| Twenty years of quality assurance in higher education: What’s happened and what’s different? |
680:T |
541 |
| Higher education quality and work-based learning: Two concepts not yet fully integrated |
680:Y |
543 |
| Now what? |
690:A |
545 |
| Waste management: Applying quality methods improves safety at nuclear cleanup site |
690:Z |
549 |
| Development of a performance measurement framework for SMEs |
710:A |
551 |
| Making the connection: A new way to look at the interplay of quality tools |
740:A |
555 |
| Added traction |
740:Y |
557 |
| High marks: College upgrades academic programs, student offerings with PDCA |
740:Y |
561 |
| Reliability models for almost-series and almost-parallel systems |
810:Y |
563 |
| Optimum specimen sizes and sample allocation for estimating Weibull shape parameters for two competing failure modes |
830:Y |
567 |
| A state-dependent wear model with an application to Marine engine cylinder liners |
840:M |
571 |
| An inverse Gaussian process model for degradation data |
840:M |
575 |
| Discussion warranted: How a company manages its product warranties can affect the bottom line |
860:A |
577 |
| Field precision and warranty prediction based auxiliary use-rate information |
860:M |
579 |
| Journal Contents |
|
583 |
| Book Contents |
|
603 |
| Subject Index |
|
605 |
| Author Index |
|
609 |
