| Managing quality in the e-service system: Development and application of a process model |
670:Y |
QCAS / 50 / 5 / 565 |
| Metadata-driven design of integrated environments for software performance validation |
730:Y |
QCAS / 50 / 5 / 577 |
| Detecting changes in field reliability using data from a complex factory screen |
820:Y |
QCAS / 50 / 5 / 579 |
| The reliability and validity of Bayesian measures for hospital profiling: A Monte Carlo assessment |
820:Y |
QCAS / 50 / 5 / 581 |
| Are maintenance practices for railroad tracks effective? |
840:Y |
QCAS / 50 / 5 / 585 |
| Impartial evaluation in software reliability practice |
850:Y |
QCAS / 50 / 5 / 587 |
| Application of neural networks for software quality prediction using object-oriented metrics |
850:Y |
QCAS / 50 / 5 / 589 |
| Resource-oriented software quality classification models |
850:Y |
QCAS / 50 / 5 / 591 |
| A decision model for software maintenance |
850:Y |
QCAS / 50 / 5 / 593 |
| Multivariate control charts for monitoring autocorrelated processes |
111:Y |
QCAS / 50 / 4 / 361 |
| Should observations be grouped for effective process monitoring? |
190:Y |
QCAS / 50 / 4 / 367 |
| Identifiable sampling design for spatial process |
210:Y |
QCAS / 50 / 4 / 371 |
| On power and sample size calculations for Wald tests in generalized linear models |
210:Y |
QCAS / 50 / 4 / 375 |
| Size-biased sampling and discrete nonparametric Bayesian inference |
240:Y |
QCAS / 50 / 4 / 379 |
| Determination of exact sample size in the Bayesian estimation of the difference of two proportions |
240:Y |
QCAS / 50 / 4 / 385 |
| The effect of lot sizing rules on order variability |
240:Y |
QCAS / 50 / 4 / 387 |
| Sample size determination for estimating process precision and process loss based on multiple samples with designated accuracy ratio |
240:Y |
QCAS / 50 / 4 / 391 |
| There is more to quality than continuous improvement: Listening to Plato |
311:Y |
QCAS / 50 / 4 / 393 |
| Weave Six Sigma into the fabric of an organization |
311:Y |
QCAS / 50 / 4 / 397 |
| Managing responsibility: What can be learned from the quality movement? |
311:Y |
QCAS / 50 / 4 / 399 |
| What’s wrong with Six Sigma |
319:Y |
QCAS / 50 / 4 / 403 |
| Sarbanes-Oxley and ISO 9000 |
342:Y |
QCAS / 50 / 4 / 409 |
| An empirical study of the benefits and cost of ISO 9001:2000 compared to ISO 9001/2/3:1994 |
342:Y |
QCAS / 50 / 4 / 413 |
| Theoretical foundation of the EFQM model: The resource-based view |
349:Y |
QCAS / 50 / 4 / 415 |
| The importance of building social capital |
351:Y |
QCAS / 50 / 4 / 419 |
| A critique of the concept of a national qualifications framework |
390:Y |
QCAS / 50 / 4 / 421 |
| The state of business process reengineering: A search for success factors |
420:Y |
QCAS / 50 / 4 / 427 |
| Using quality management tools to enhance feedback from student evaluations |
430:Y |
QCAS / 50 / 4 / 429 |
| A Bayesian ◈ test for goodness of fit |
511:Y |
QCAS / 50 / 4 / 431 |
| Confidence intervals for two sample binomial distribution |
511:Y |
QCAS / 50 / 4 / 433 |
| Foundations of probabilistic inference with uncertain evidence |
512:Y |
QCAS / 50 / 4 / 435 |
| A jackknife variance estimator for unequal probability sampling |
515:Y |
QCAS / 50 / 4 / 437 |
| Designing experiments for causal networks |
520:Y |
QCAS / 50 / 4 / 439 |
| Using genetic algorithms to generate mixture-process experimental designs involving control and noise variables |
529:Y |
QCAS / 50 / 4 / 441 |
| Corrected confidence intervals for adaptive nonlinear regression models |
542:Y |
QCAS / 50 / 4 / 447 |
| Runs tests for assessing volatility forecastability in financial time series |
544:Y |
QCAS / 50 / 4 / 449 |
| Robustness against separation and outliers in logistic regression |
549:Y |
QCAS / 50 / 4 / 451 |
| Factor analysis in data mining |
590:Y |
QCAS / 50 / 4 / 453 |
| The effects of severity of failure and customer loyalty on service recovery strategies |
670:Y |
QCAS / 50 / 4 / 463 |
| A framework for reliability prediction during product development process incorporating engineering judgements |
820:Y |
QCAS / 50 / 4 / 469 |
| A software tool for reliability estimation |
820:Y |
QCAS / 50 / 4 / 471 |
| Quick simulation methods for estimating the unreliability of regenerative models of large, highly reliable systems |
820:Y |
QCAS / 50 / 4 / 473 |
| The optimization with the genetic algorithm apporach of the multi-objective, joint economical design of the X̄ and R control charts |
111:Y |
QCAS / 50 / 3 / 241 |
| A distribution-free Shewhart quality control chart based on signed-ranks |
111:Y |
QCAS / 50 / 3 / 243 |
| Performance measures for the Shewhart X̄ control chart |
111:Y |
QCAS / 50 / 3 / 247 |
| Poisson moving average versus c chart for nonconformities |
112:Y |
QCAS / 50 / 3 / 251 |
| Effect of nonnormality on the economic design of warning limit X̄ charts |
113:Y |
QCAS / 50 / 3 / 255 |
| A simple algorithm to determine the optimal inspection interval |
290:Y |
QCAS / 50 / 3 / 261 |
| Integrated inspection strategy model with inspection errors and positive inspection time lengths |
290:Y |
QCAS / 50 / 3 / 263 |
| Quality: An ethical inquiry |
311:Y |
QCAS / 50 / 3 / 265 |
| To make it ‘total’: Quality management over subcultures |
313:Y |
QCAS / 50 / 3 / 267 |
| A survey of TQM success factors in the UK |
319:Y |
QCAS / 50 / 3 / 269 |
| Enabling a TQM structure through information technology |
319:Y |
QCAS / 50 / 3 / 271 |
| An analytical framework to measure, benchmark and improve the strategic position of an organization using a quality competitiveness index |
324:Y |
QCAS / 50 / 3 / 275 |
| Training quality managers – Do they practice what they preach? |
331:Y |
QCAS / 50 / 3 / 281 |
| Teamwork and total quality management: A durable partnership |
332:Y |
QCAS / 50 / 3 / 283 |
| Challenges posed to performance management by TQM gurus: Contributions of individual employees versus systems-level features |
334:Y |
QCAS / 50 / 3 / 289 |
| Innovation and attention to detail in the quality improvement paradigm |
339:Y |
QCAS / 50 / 3 / 291 |
| Applying Six-Sigma to supplier development |
351:Y |
QCAS / 50 / 3 / 293 |
| An empirical investigation of the channels that facilitate a total quality culture |
410:Y |
QCAS / 50 / 3 / 297 |
| Head and heart in quality implementation – applying the quality philosophy within Irish healthcare institutions |
410:Y |
QCAS / 50 / 3 / 299 |
| Quality management and organizational context in selected service industries of China |
410:Y |
QCAS / 50 / 3 / 301 |
| Quality problems and their real costs |
440:Y |
QCAS / 50 / 3 / 305 |
| Robust two-sample statistics for testing equality of means: A simulation study |
511:Y |
QCAS / 50 / 3 / 309 |
| Improvement over Bayes prediction in small samples in the presence of model uncertainty |
512:Y |
QCAS / 50 / 3 / 311 |
| A simple more general boxplot method for identifying outliers |
514:Y |
QCAS / 50 / 3 / 315 |
| A note on the noncentrality parameter and effect size estimates for the F test in ANOVA |
515:Y |
QCAS / 50 / 3 / 317 |
| Some perspectives on statistical computing |
519:Y |
QCAS / 50 / 3 / 319 |
| The interplay of Bayesian and frequentist analysis |
519:Y |
QCAS / 50 / 3 / 321 |
| Perfect sampling for Bayesian variable selection in a linear regression model |
541:Y |
QCAS / 50 / 3 / 323 |
| Nonparametric Bayesian data analysis |
551:Y |
QCAS / 50 / 3 / 325 |
| The Reverend Thomas Bayes, FRS: A biography to celebrate the tercentenary of his birth |
590:Y |
QCAS / 50 / 3 / 327 |
| Integrating quality management practices with knowledge creation processes |
690:Y |
QCAS / 50 / 3 / 337 |
| Estimation of the European customer satisfaction index: Maximum likelihood versus partial least squares. Application to postal services |
710:Y |
QCAS / 50 / 3 / 339 |
| Applying sampling to improve software inspections |
730:Y |
QCAS / 50 / 3 / 343 |
| How to obtain bathtub-shaped failure rate models from normal mixtures |
820:Y |
QCAS / 50 / 3 / 347 |
| A flexible method for estimating the ROC curve |
820:Y |
QCAS / 50 / 3 / 349 |
| A new algorithm to generate beta processes |
820:Y |
QCAS / 50 / 3 / 351 |
| Combining link-tracking sampling and cluster sampling to estimate the size of hidden populations |
210:Y |
QCAS / 50 / 2 / 125 |
| Spatial models for line transect sampling |
210:Y |
QCAS / 50 / 2 / 131 |
