| Importance and implementation of Baldrige practices for small businesses |
343:Y |
QCAS / 51 / 1 / 49 |
| The strategic deployment of quality-improving innovations |
410:Y |
QCAS / 51 / 1 / 53 |
| Quality management in Pakistan’s readymade garments’ industry |
410:Y |
QCAS / 51 / 1 / 55 |
| How are organizational measures really used? |
420:Y |
QCAS / 51 / 1 / 57 |
| Confidence intervals for proportions estimated from complex sample designs |
511:Y |
QCAS / 51 / 1 / 63 |
| On the post hoc power in testing mean differences |
511:Y |
QCAS / 51 / 1 / 67 |
| Comparing variances and other measures of dispersion |
515:Y |
QCAS / 51 / 1 / 69 |
| Design of experiments for dummies |
520:Y |
QCAS / 51 / 1 / 75 |
| Optimization of correlated multiple quality characteristics using desirability function |
520:Y |
QCAS / 51 / 1 / 77 |
| Response surface designs within a split-plot structure |
525:Y |
QCAS / 51 / 1 / 79 |
| Regression analysis of interval-censored failure time data with linear transformation models |
540:Y |
QCAS / 51 / 1 / 81 |
| Estimating equation approach for regression analysis of failure time data in the presence of interval-censoring |
540:Y |
QCAS / 51 / 1 / 83 |
| Change point problems in the model of logistic regression |
549:Y |
QCAS / 51 / 1 / 85 |
| What do online customers value? |
640:Y |
QCAS / 51 / 1 / 93 |
| Effects of quality management and marketing on organizational performance |
640:Y |
QCAS / 51 / 1 / 95 |
| An investigation of the measurements systems analysis “analytic method” for attribute gages |
710:Y |
QCAS / 51 / 1 / 103 |
| The dark side of process measurement |
710:Y |
QCAS / 51 / 1 / 105 |
| Testing whether failure rate changes its trend with unknown change points |
820:Y |
QCAS / 51 / 1 / 107 |
| Nonparametric estimation of reliability and survival function for continuous time finite Markov processes |
820:Y |
QCAS / 51 / 1 / 109 |
| Reliability assessment and sensitivity analysis of software reliability growth modeling based on software module structure |
850:Y |
QCAS / 51 / 1 / 111 |
| Graphical representation of run length distributions |
110:Y |
QCAS / 50 / 6 / 601 |
| Multi-resolution wavelets analysis approach for the recognition of concurrent control chart patterns |
110:Y |
QCAS / 50 / 6 / 603 |
| A neural network method for modelling the parameters of a CUSUM chart |
110:Y |
QCAS / 50 / 6 / 605 |
| A computer program to calculate two-stage short-run control chart factors for (X̄, s) charts |
111:Y |
QCAS / 50 / 6 / 609 |
| Adjusted loss-function charts with variable sample sizes and sampling intervals |
111:Y |
QCAS / 50 / 6 / 613 |
| Improving process capability of manufacturing process by application of statistical techniques |
120:Y |
QCAS / 50 / 6 / 617 |
| A Bayesian approach for assessing process precision based on multiple samples |
130:Y |
QCAS / 50 / 6 / 619 |
| A phenomenological taxonomy for systematizing knowledge on nonconformances |
190:Y |
QCAS / 50 / 6 / 623 |
| Sampling distributions associated with the multivariate t distribution |
210:Y |
QCAS / 50 / 6 / 627 |
| Exemplar sampling: Nonrandom methods of selecting a sample which characterizes a finite multivariate population |
210:Y |
QCAS / 50 / 6 / 629 |
| A diffusion-neural-network for learning from small samples |
210:Y |
QCAS / 50 / 6 / 631 |
| Using spreadsheet solvers in sample design |
210:Y |
QCAS / 50 / 6 / 633 |
| Maintaining race and ethnicity trend lines in U. S. government surveys |
230:Y |
QCAS / 50 / 6 / 635 |
| Robustness of sample size re-estimation with interim binary data for double-blind clinical trials |
240:Y |
QCAS / 50 / 6 / 639 |
| Geometric representation of high dimension, low sample size data |
240:Y |
QCAS / 50 / 6 / 641 |
| Forecasting management philosophy life cycles: A comparative study to Six Sigma and TQM |
310:Y |
QCAS / 50 / 6 / 643 |
| Benchmarking as a tool of strategic management |
324:Y |
QCAS / 50 / 6 / 649 |
| An investigation into issues related to the latest version of ISO 9000 |
342:Y |
QCAS / 50 / 6 / 653 |
| TS 16949 – Where did it come from? |
342:Y |
QCAS / 50 / 6 / 655 |
| Developing a customer-focused culture in the speculative house-building industry |
359:Y |
QCAS / 50 / 6 / 657 |
| The management pattern of adopting TQM in Hong Kong companies |
410:Y |
QCAS / 50 / 6 / 661 |
| Quality management in the logistics industry: An examination and a ten-step approach for quality implementation |
410:Y |
QCAS / 50 / 6 / 663 |
| Quality management practices in Indian service firms |
410:Y |
QCAS / 50 / 6 / 665 |
| Performance measures and quality tools in Portuguese small and medium enterprises: Survey results |
430:Y |
QCAS / 50 / 6 / 667 |
| A concept of optimal quality and an application |
440:Y |
QCAS / 50 / 6 / 669 |
| Small-sample comparisons for goodness-of-fit statistics in one-way multinomials with composite hypotheses |
511:Y |
QCAS / 50 / 6 / 675 |
| A large deviation approach to normality testing |
511:Y |
QCAS / 50 / 6 / 677 |
| Inferences based on a skipped correlation coefficient |
512:Y |
QCAS / 50 / 6 / 681 |
| Subsampling methods to estimate the variance of sample means based on nonstationary spatial data with varying expected values |
512:Y |
QCAS / 50 / 6 / 683 |
| Dual-response surface optimization: A weighted MSE approach |
520:Y |
QCAS / 50 / 6 / 685 |
| Robustness of a class of partial dialed cross designs to the unavailability of a complete block of observations |
522:Y |
QCAS / 50 / 6 / 687 |
| Minimum G aberration design construction and design tables for 24 runs |
524:Y |
QCAS / 50 / 6 / 689 |
| Response surface modeling and optimization in multiresponse experiments using seemingly unrelated regressions |
525:Y |
QCAS / 50 / 6 / 691 |
| A methodology for selecting representative input regions for accelerated testing |
530:Y |
QCAS / 50 / 6 / 693 |
| Robust generalized regression estimation |
549:Y |
QCAS / 50 / 6 / 695 |
| Assessing and benchmarking maintenance performance in a manufacturing facility: A data envelopment analysis approach |
840:Y |
QCAS / 50 / 6 / 701 |
| Acceptance control charts for non-normal data |
110:Y |
QCAS / 50 / 5 / 481 |
| Powerful rules for the Hotelling’s ◈ control chart |
110:Y |
QCAS / 50 / 5 / 485 |
| A change-point model for a shift in variance |
111:Y |
QCAS / 50 / 5 / 489 |
| Determining the time of a permanent shift in the process mean of CUSUM control charts |
111:Y |
QCAS / 50 / 5 / 493 |
| Two-stage short run (X̄, S) control charts |
111:Y |
QCAS / 50 / 5 / 495 |
| A new bivariate control chart to monitor the multivariate process mean and variance simultaneously |
111:Y |
QCAS / 50 / 5 / 497 |
| Joint monitoring of process mean and variability with a single moving average control chart |
111:Y |
QCAS / 50 / 5 / 499 |
| Designing Bayesian chain sampling plan (BChSP-1) with minimum angle method |
119:Y |
QCAS / 50 / 5 / 501 |
| Learning by doing: A series of hands-on projects for SPC |
120:Y |
QCAS / 50 / 5 / 503 |
| Evaluation of nonnormal process capability indices using generalized lambda distribution |
120:Y |
QCAS / 50 / 5 / 505 |
| An action-research based instrument for monitoring continuous quality improvement |
230:Y |
QCAS / 50 / 5 / 507 |
| Application of quality control in ICR data capture: 2001 Canadian census of agriculture |
230:Y |
QCAS / 50 / 5 / 509 |
| A model for evaluating organizational competencies: An application in the context of a quality management initiative |
310:Y |
QCAS / 50 / 5 / 511 |
| Knowledge management and its relationship with TQM |
310:Y |
QCAS / 50 / 5 / 515 |
| Usefulness of the EFQM excellence model: Theoretical explanation of the conceptual and methodological issues |
324:Y |
QCAS / 50 / 5 / 519 |
| A team performance measurement model for continuous improvement |
332:Y |
QCAS / 50 / 5 / 521 |
| The new ISO 9001 and the problem of ceremonial conformity: How have audit methods evolved? |
341:Y |
QCAS / 50 / 5 / 525 |
| Measuring the relative efficiency of a firm’s ability to achieve organizational benefits after ISO certification |
342:Y |
QCAS / 50 / 5 / 527 |
| Leadership styles supporting ISO 9000-2000 |
342:Y |
QCAS / 50 / 5 / 531 |
| Reduced quality and an unlevel playing field could make consumers happier |
490:Y |
QCAS / 50 / 5 / 535 |
| Contributions to two-sample statistics |
511:Y |
QCAS / 50 / 5 / 539 |
| Testing Fisher, Neyman, Pearson and Bayes |
511:Y |
QCAS / 50 / 5 / 543 |
| A bootstrap test of stochastic equality of two populations |
511:Y |
QCAS / 50 / 5 / 545 |
| How surprising is a new record? |
514:Y |
QCAS / 50 / 5 / 547 |