A comparative study of CUSUM and EWMA charts: Detection of incipient drifts in a multivariate framework |
110:Y |
361 |

The inertial properties of quality control charts |
110:Y |
365 |

A modified S chart for the process variance |
110:Y |
367 |

Joint statistical design of double sampling X̄ and S charts |
111:Y |
369 |

Assessing the process capability index for non-normal processes |
120:Y |
375 |

Design effects for the weighted mean and total estimators under complex survey sampling |
210:Y |
381 |

Progressively censored variables sampling plans for two-parameter exponential distributions |
210:Y |
385 |

Dynamic importance sampling in Bayesian networks based on probability trees |
210:Y |
389 |

A control scheme for high-yield correlated production under group inspection |
230:Y |
393 |

An integrative framework for measuring the extent to which organizational variables influence the success of process improvement programs |
329:A |
397 |

Rapid knowledge transfer: The key to success |
339:Y |
399 |

Achieving competitive advantage through implementing a replicable management standard: Installing and using ISO 9000 |
342:A |
401 |

Improve schools with empowerment based models |
410:T |
403 |

A note on determining an optimal target by considering the dependence of holding costs and the quality characteristics |
440:Y |
405 |

What are quality reputations worth? |
440:Y |
409 |

Academic staff views of quality systems for teaching and learning: A Hong Kong case study |
T |
411 |

Big improvements for small parts |
490:M |
413 |

Ranked-set sample nonparametric quantile confidence intervals |
511:Y |
415 |

Normalizing unbiased estimating functions |
512:Y |
417 |

A recursive approach to detect multivariate conditional variance components and conditional random effects |
515:Y |
419 |

A game theory application in robust design |
520:Y |
421 |

Construction of a 21-component layered mixture experiment design using a new mixture coordinate-exchange algorithm |
529:Y |
425 |

Bias-corrected maximum semiparametric likelihood estimation under logistic regression models based on case-control data |
540:Y |
427 |

Finite mixture dynamic regression modeling of panel data with implications for dynamic response analysis |
549:Y |
429 |

Noninformative nonparametric quantile estimation for simple random samples |
551:Y |
433 |

The power of dynamic illustrations |
552:Y |
435 |

Reverse logistics as a means of reducing the cost of quality |
620:Y |
437 |

Enhancing care services quality of nursing homes using data mining |
670:B |
441 |

Measuring business-to-business professional service quality and its consequences |
670:S |
445 |

Managing service quality using data envelopment analysis |
670:S |
447 |

How to delight your customers |
670:S |
451 |

Perceived retail crowding and shopping satisfaction: The role of shopping values |
690:Y |
455 |

The relationship between customer satisfaction and shareholder value |
690:Y |
459 |

Developing control measures to reduce variation in weight of packed cement bags |
720:M |
463 |

Inference on reliability P(Y < X) in a p-dimensional Rayleigh distribution |
820:Y |
465 |

A production model with imperfect preventive maintenance |
840:M |
467 |

Development of optimal production, inspection and maintenance strategies with positive inspection time and preventive maintenance error |
840:Y |
469 |

Optimal preventive maintenance of a production system with an intermediate buffer |
840:Y |
471 |

Quality implication of warranties in a supply chain |
860:M |
473 |