| Bayes prediction in a Pareto life time model with random sample size |
512:Y |
QCAS / 46 / 4 / 439 |
| Some new two-level saturated designs |
520:Y |
QCAS / 46 / 4 / 443 |
| Planning data configuration for statistical analysis |
521:Y |
QCAS / 46 / 4 / 447 |
| Analyzing the censored life data arising in fractional factorial designs: Spin-on-fiber case study |
524:Y |
QCAS / 46 / 4 / 449 |
| Six Sigma, e-commerce post new challenges |
650:Y |
QCAS / 46 / 4 / 455 |
| Quantifying product appearance |
710:Y |
QCAS / 46 / 4 / 463 |
| Statistical analysis of Weibull distributed lifetime data under Type II progressive censoring with binomial removals |
820:Y |
QCAS / 46 / 4 / 467 |
| Loss-based optimal control statistics for control charts |
110:Y |
QCAS / 46 / 3 / 241 |
| Monitoring process dispersion without subgrouping |
110:Y |
QCAS / 46 / 3 / 245 |
| A graphical method for checking attribute control chart assumptions |
112:Y |
QCAS / 46 / 3 / 249 |
| Modified tightened two-level continuous sampling plans |
210:Y |
QCAS / 46 / 3 / 255 |
| Survey sampling theory over the twentieth century and its relation to computing technology |
210:Y |
QCAS / 46 / 3 / 257 |
| Combined continuous lot by lot acceptance sampling plan |
210:Y |
QCAS / 46 / 3 / 261 |
| Subsampling callbacks to improve survey efficiency |
230:Y |
QCAS / 46 / 3 / 265 |
| Sample size calculations for failure time random variables in nonrandomized studies |
240:Y |
QCAS / 46 / 3 / 267 |
| Bayes prediction in a Pareto lifetime model with random sample size |
290:Y |
QCAS / 46 / 3 / 271 |
| East meets west: Weaving the threads of Deming, da Vinci and the Tao Te Ching |
311:Y |
QCAS / 46 / 3 / 277 |
| The naked truth about business excellence |
319:Y |
QCAS / 46 / 3 / 279 |
| Effect and choice of the weighting scale in QFD |
323:Y |
QCAS / 46 / 3 / 281 |
| Benchmarking quality management practices: US versus Costa Rica |
324:Y |
QCAS / 46 / 3 / 287 |
| Effects of supplier reliability and benevolence in business marketing |
350:Y |
QCAS / 46 / 3 / 297 |
| Integrating supplier satisfaction with customer satisfaction |
350:Y |
QCAS / 46 / 3 / 301 |
| Emerging countries and business excellence |
390:Y |
QCAS / 46 / 3 / 303 |
| Quality: On the threshold or the brink? |
410:Y |
QCAS / 46 / 3 / 305 |
| Six Sigma, process drift, capability indices and feedback adjustment |
430:Y |
QCAS / 46 / 3 / 307 |
| A discussion of strategies for Six Sigma implementation |
430:Y |
QCAS / 46 / 3 / 309 |
| Data mining for fun and profit |
510:Y |
QCAS / 46 / 3 / 311 |
| Use of mathematical programming in the analysis of constrained and unconstrained industrial experiments |
520:Y |
QCAS / 46 / 3 / 315 |
| Experimental sequence: A decision theory |
521:Y |
QCAS / 46 / 3 / 319 |
| Sequential experimentation using two-level fractional factorials |
524:Y |
QCAS / 46 / 3 / 321 |
| A class of three-level experimental designs for response surface modeling |
525:Y |
QCAS / 46 / 3 / 325 |
| Comparisons of exponential life test plans with intermittent inspections |
820:Y |
QCAS / 46 / 3 / 341 |
| Optimal reliability allocation with discrete cost-reliability data for components |
820:Y |
QCAS / 46 / 3 / 347 |
| An analysis of factors affecting software reliability |
850:Y |
QCAS / 46 / 3 / 349 |
| Statistical process control in the presence of large measurement variation |
100:Y |
QCAS / 46 / 2 / 121 |
| Statistical process control using two measurement systems |
100:Y |
QCAS / 46 / 2 / 125 |
| Influence of the sampling interval, decision limit and autocorrelation on the average run length in CUSUM charts |
100:Y |
QCAS / 46 / 2 / 129 |
| CUSUM charts for preliminary analysis of individual observations |
111:Y |
QCAS / 46 / 2 / 133 |
| Monitoring processes with highly censored data |
120:Y |
QCAS / 46 / 2 / 139 |
| Demonstrating Deming’s kp rule using an economic model of the CSP-1 |
210:Y |
QCAS / 46 / 2 / 141 |
| A new look at confidence intervals in survey sampling |
230:Y |
QCAS / 46 / 2 / 145 |
| Estimating the unknown sample size |
240:Y |
QCAS / 46 / 2 / 149 |
| Sample size requirements to test the equality of raters’ precision |
240:Y |
QCAS / 46 / 2 / 153 |
| Quality managers and the successful management of quality: An insight |
311:Y |
QCAS / 46 / 2 / 159 |
| Quality management hits the road |
311:Y |
QCAS / 46 / 2 / 163 |
| Quality myths and legends |
319:Y |
QCAS / 46 / 2 / 167 |
| The evolution of Six Sigma |
319:Y |
QCAS / 46 / 2 / 169 |
| Effect and choice of the weighting scale in QFD |
323:Y |
QCAS / 46 / 2 / 171 |
| Organizational and quality systems development: An analysis via a dynamic simulation model |
329:Y |
QCAS / 46 / 2 / 175 |
| The Tao of people-based management |
330:Y |
QCAS / 46 / 2 / 177 |
| A comparative analysis of national and regional quality awards |
343:Y |
QCAS / 46 / 2 / 181 |
| Implementation of quality programs in developing countries: A Fiji Islands case study |
410:Y |
QCAS / 46 / 2 / 183 |
| Evaluating the effectiveness of the New Zealand Academic Audit Unit: Review and outcomes |
430:Y |
QCAS / 46 / 2 / 187 |
| Large data series: Modeling the usual to identify the unusual |
510:Y |
QCAS / 46 / 2 / 189 |
| Sequential estimation of the guarantee times for systems of several exponential components |
512:Y |
QCAS / 46 / 2 / 193 |
| Estimating the process standard deviation based on Downton’s Estimator |
515:Y |
QCAS / 46 / 2 / 197 |
| Putting Taguchi methods to work to solve design flaws |
520:Y |
QCAS / 46 / 2 / 199 |
| Experimental sequence: A decision strategy |
520:Y |
QCAS / 46 / 2 / 201 |
| Retail-data quality: Evidence, causes, costs and fixes |
640:Y |
QCAS / 46 / 2 / 207 |
| An intelligent approach to integration and control of textile processes |
720:Y |
QCAS / 46 / 2 / 219 |
| Optimal policies under risk for changing software systems based on customer satisfaction |
730:Y |
QCAS / 46 / 2 / 221 |
| Charting service quality gaps |
740:Y |
QCAS / 46 / 2 / 223 |
| Optimal repair of a series system with fixed repair times |
820:Y |
QCAS / 46 / 2 / 225 |
| A Bayesian/classical approach to reliability demonstration |
820:Y |
QCAS / 46 / 2 / 227 |
| Shift detection properties of moving centerline control chart schemes |
110:Y |
QCAS / 46 / 1 / 13 |
| A nonparametric control chart for a symmetric process: A Markovian approach |
110:Y |
QCAS / 46 / 1 / 15 |
| Target allocation for maximizing wear allowance of running fits based on process capability |
120:Y |
QCAS / 46 / 1 / 17 |
| Some alternative strategies to Moors’ model in randomized response sampling |
210:Y |
QCAS / 46 / 1 / 21 |
| Importance sampling for families of distributions |
210:Y |
QCAS / 46 / 1 / 25 |
| Generalized tightened two-level continuous sampling plans |
220:Y |
QCAS / 46 / 1 / 31 |
| Determination of variable lot size attribute sampling plan indexed by the acceptable quality level and average outgoing quality level for continuous production |
220:Y |
QCAS / 46 / 1 / 33 |
| Cumulating/combining population surveys |
230:Y |
QCAS / 46 / 1 / 35 |
| Bayesian sample size determination for estimating binomial parameters from data subject to misclassification |
240:Y |
QCAS / 46 / 1 / 37 |
| A discussion of strategies for Six Sigma implementation |
311:Y |
QCAS / 46 / 1 / 39 |
| The role of scientific method in quality management |
311:Y |
QCAS / 46 / 1 / 43 |
| The effective design of work under total quality management |
330:Y |
QCAS / 46 / 1 / 53 |
| Integration of value analysis and total quality management: The way ahead in the next millennium |
390:Y |
QCAS / 46 / 1 / 61 |
| Integration of value analysis and total quality management: The way ahead in the next millennium |
390:Y |
QCAS / 46 / 1 / 63 |
| The influence of organizational structure on the effectiveness of TQM programs |
410:Y |
QCAS / 46 / 1 / 71 |
| Testing statistical hypotheses with vague data |
511:Y |
QCAS / 46 / 1 / 73 |
