| De-motivators for software process improvement: An analysis of practitioners’ views |
850:Y |
QCAS / 49 / 3 / 341 |
| Reliability prediction for component-based software architectures |
850:Y |
QCAS / 49 / 3 / 343 |
| Quality-driven software re-engineering |
850:Y |
QCAS / 49 / 3 / 347 |
| Software reliability and cost models: Perspectives, comparison and practice |
850:Y |
QCAS / 49 / 3 / 349 |
| From problem to solution with quality attributes and design aspects |
850:Y |
QCAS / 49 / 3 / 351 |
| Modeling the effects of service guarantee on perceived service quality using alternative conditional expectations (ACE) |
860:Y |
QCAS / 49 / 3 / 353 |
| An adaptive exponentially weighted moving average control chart |
110:Y |
QCAS / 49 / 2 / 121 |
| SPC: From chaos to wiping the floor |
190:Y |
QCAS / 49 / 2 / 129 |
| Exactly optimal sampling designs for processes with a product covariance structure |
210:Y |
QCAS / 49 / 2 / 131 |
| Poisson mixture sampling combined with order sampling |
210:Y |
QCAS / 49 / 2 / 137 |
| Minimum risk, fixed cost sampling designs for independent Poisson processes |
220:Y |
QCAS / 49 / 2 / 139 |
| Exactly optimal sampling designs for processes with a product covariance structure |
220:Y |
QCAS / 49 / 2 / 143 |
| Optimal calibration estimators under two-phase sampling |
240:Y |
QCAS / 49 / 2 / 147 |
| Team formation: Matching quality supply and quality demand |
339:Y |
QCAS / 49 / 2 / 165 |
| A decision support system for solving quality problems using case-based reasoning |
390:Y |
QCAS / 49 / 2 / 171 |
| Quality dimensions, capabilities and business strategy: An empirical study in high-tech industry |
410:Y |
QCAS / 49 / 2 / 173 |
| The relationship between total quality management practices and their effects on firm performance |
440:Y |
QCAS / 49 / 2 / 175 |
| Confidence interval coverage for regression estimators in a uni-phase and two-phase sampling |
511:Y |
QCAS / 49 / 2 / 177 |
| Statistical inference for a ratio of dispersions using paired samples |
512:Y |
QCAS / 49 / 2 / 181 |
| Using data images for outlier detection |
514:Y |
QCAS / 49 / 2 / 185 |
| Analysis of supersaturated designs |
520:Y |
QCAS / 49 / 2 / 187 |
| A review and analysis of the Mahalanobis-Taguchi system |
520:Y |
QCAS / 49 / 2 / 195 |
| Complete diallel crosses plans through balanced incomplete block designs |
522:Y |
QCAS / 49 / 2 / 199 |
| Joint optimization of mean and standard deviation using response service methods |
525:Y |
QCAS / 49 / 2 / 201 |
| Regression with response distributions of Pareto-type |
540:Y |
QCAS / 49 / 2 / 205 |
| Component reliability analysis k-out-of-n systems with censored data |
820:Y |
QCAS / 49 / 2 / 213 |
| The trend-renewal process for statistical analysis of repairable systems |
820:Y |
QCAS / 49 / 2 / 217 |
| Quality improvement and infrastructure activity costs in software development: A longitudinal analysis |
850:Y |
QCAS / 49 / 2 / 221 |
| An empirical comparison and characterization of high defect and high complexity modules |
850:Y |
QCAS / 49 / 2 / 225 |
| Assessing the maintenance processes of a software organization: An empirical analysis of a large industrial project |
850:Y |
QCAS / 49 / 2 / 227 |
| Three-triplet np control charts |
110:Y |
QCAS / 49 / 1 / 13 |
| Economic statistical design of X̄ control charts for systems with gamma (λ, 2) in-control times |
111:Y |
QCAS / 49 / 1 / 17 |
| Process capability optimization |
120:Y |
QCAS / 49 / 1 / 21 |
| Statistical process control procedures for controlling the weight of packets of biscuits |
190:Y |
QCAS / 49 / 1 / 27 |
| The advantages of continuous measurements over pass/fail data |
190:Y |
QCAS / 49 / 1 / 29 |
| Testing the normality assumption in the sample selection model with an application to travel demand |
210:Y |
QCAS / 49 / 1 / 31 |
| Two-layer ranked set sampling with concomitant variables |
210:Y |
QCAS / 49 / 1 / 37 |
| Bayesian acceptance sampling plans following economic criteria: An application to paper pulp manufacturing |
220:Y |
QCAS / 49 / 1 / 39 |
| Reliability sampling plans for the Weibull distribution under Type II progressive censoring with binomial removals |
220:Y |
QCAS / 49 / 1 / 45 |
| Stepwise estimators for three-phase sampling of categorical variables |
290:Y |
QCAS / 49 / 1 / 47 |
| Six Sigma: A goal-theoretic perspective |
310:Y |
QCAS / 49 / 1 / 49 |
| Understanding the obstacles to TQM success |
311:Y |
QCAS / 49 / 1 / 51 |
| An empirical taxonomy for quality management systems: A study of the Hong Kong electronics industry |
410:Y |
QCAS / 49 / 1 / 69 |
| Measuring the quality of university computer labs using SERVQUAL: A longitudinal study |
430:Y |
QCAS / 49 / 1 / 73 |
| Confidence intervals in repeatability and reproducibility using the Bootstrap method |
511:Y |
QCAS / 49 / 1 / 75 |
| Detection and estimation of abrupt changes in the variability of a process |
515:Y |
QCAS / 49 / 1 / 81 |
| Orthogonal arrays for experiments with lean designs |
520:Y |
QCAS / 49 / 1 / 87 |
| A comparison of partial least squares regression with other prediction methods |
540:Y |
QCAS / 49 / 1 / 89 |
| Measures to evaluate the discrepancy between direct and indirect model-based seasonal adjustment |
544:Y |
QCAS / 49 / 1 / 93 |
| What educated citizens should know about statistics and probability |
590:Y |
QCAS / 49 / 1 / 97 |
| NHPP software reliability and cost models with testing coverage |
850:Y |
QCAS / 49 / 1 / 107 |
| A quantitative and qualitative analysis of factors affecting software processes |
850:Y |
QCAS / 49 / 1 / 109 |
| Incorporating runs rules into Hotelling’s X2 control charts |
111:Y |
QCAS / 48 / 6 / 601 |
| A group of moving averages control plan for signaling varying location shifts |
111:Y |
QCAS / 48 / 6 / 605 |
| Adapting EWMA control charts for batch-correlated data |
111:Y |
QCAS / 48 / 6 / 609 |
| Bootstrap confidence limits for short-run capability indices |
120:Y |
QCAS / 48 / 6 / 613 |
| Statistical control of a Six Sigma process |
190:Y |
QCAS / 48 / 6 / 617 |
| Still rolling: Leslie Kish’s “rolling samples” and the American Community Survey |
210:Y |
QCAS / 48 / 6 / 621 |
| On a version of cluster sampling and its practical use |
210:Y |
QCAS / 48 / 6 / 625 |
| New paradigms (models) for probability sampling |
230:Y |
QCAS / 48 / 6 / 629 |
| The importance of a quality culture |
313:Y |
QCAS / 48 / 6 / 633 |
| Quality in the public sector from an employee’s perspective: Results from a transnational comparison |
340:Y |
QCAS / 48 / 6 / 639 |
| A proposed model of consumer loyalty in the retailing sector based on the Kuwaiti experience |
350:Y |
QCAS / 48 / 6 / 641 |
| Total-costs based evaluation system of supplier quality performance |
351:Y |
QCAS / 48 / 6 / 643 |
| A survey of TQM practices in the Malaysian electrical and electronic industry |
410:Y |
QCAS / 48 / 6 / 647 |
| A study in the efficiency evaluation of total quality management activities in Korean companies |
410:Y |
QCAS / 48 / 6 / 651 |
| Testing non-nested multivariate effect size models in meta-analysis |
510:Y |
QCAS / 48 / 6 / 655 |
| Strategies and approaches for small area statistics |
512:Y |
QCAS / 48 / 6 / 657 |
| Application of analysis of means (ANOM)to nested designs for improving the visualization and understanding of the sources of variation of chemical and pharmaceutical processes |
520:Y |
QCAS / 48 / 6 / 661 |
| Operating window experiments: A novel approach to quality improvement |
520:Y |
QCAS / 48 / 6 / 665 |
| Response surface designed experiment for door closing effort |
525:Y |
QCAS / 48 / 6 / 669 |
| Row-column response surface designs |
525:Y |
QCAS / 48 / 6 / 673 |
| Retrospective factorial fitting and reverse design of experiments |
529:Y |
QCAS / 48 / 6 / 675 |
| Bias reduction in standard errors for linear regression with multi-stage samples |
541:Y |
QCAS / 48 / 6 / 677 |
| The influence of the image of a product’s region of origin on product evaluation |
640:Y |
QCAS / 48 / 6 / 683 |
| The virtual integrated design method |
720:Y |
QCAS / 48 / 6 / 697 |
| A review and extension of control limit methods for nonnormal distributions |
110:Y |
QCAS / 48 / 5 / 485 |
| A computer program to calculate two-stage short-run control chart factors for (X̄, v) and (X̄, √ v) charts |
110:Y |
QCAS / 48 / 5 / 487 |
| Variation charts for multivariate processes |
111:Y |
QCAS / 48 / 5 / 489 |
| Proposed short runs multivariate control charts for the process mean |
111:Y |
QCAS / 48 / 5 / 491 |
