A rule of thumb: Run lengths to false alarm of many types of control charts run in parallel on dependent streams are asymptotically independent |
110:Y |
QCAS / 67 / 3-4 / 171 |

A new process control chart for monitoring short-range serially correlated data |
110:Y |
QCAS / 67 / 3-4 / 173 |

Choosing parameter values for a geometric CUSUM chart for detecting an upward shift in a proportion |
110:Y |
QCAS / 65 / 5-6 / 339 |

An EWMA-type sign chart with exact run length properties |
110:Y |
QCAS / 65 / 3-4 / 171 |

Phase II control charts for monitoring dispersion when parameters are estimated |
110:Y |
QCAS / 64 / 3-4 / 185 |

A CUSUM test for panel mean change detection |
110:Y |
QCAS / 64 / 1-2 / 17 |

The case against the use of synthetic control charts |
110:Y |
QCAS / 63 / 3-4 / 185 |

Evaluation of phase I analysis scenarios on phase II performance
of control charts for autocorrelated observations |
110:Y |
QCAS / 63 / 3-4 / 187 |

A tutorial on an iterative approach for generating Shewhart control limits |
110:Y |
QCAS / 63 / 3-4 / 189 |

Control charting methods for autocorrelated cyber vulnerability data |
110:Y |
QCAS / 63 / 3-4 / 191 |

An application of the linear errors-in-variables model in
semiconductor device performance assessment |
110:Y |
QCAS / 62 / 1-2 / 17 |

Another look at the EWMA control chart
with estimated parameters |
110:Y |
QCAS / 62 / 1-2 / 19 |

Developing control charts in monitoring service quality
based on the number of customer complaints |
110:Y |
QCAS / 61 / 5-6 / 429 |

CUSUM charts for monitoring the characteristic life
of censored Weibull lifetimes |
110:Y |
QCAS / 60 / 5-6 / 429 |

A robust estimator for location in phase I based on an EWMA chart |
110:Y |
QCAS / 60 / 5-6 / 433 |

A Gaussian process control chart for monitoring autocorrelated process data |
110:Y |
QCAS / 60 / 3 / 185 |

Quality quandaries: A stepwise approach for setting up a robust shewhart location control chart |
110:Y |
QCAS / 60 / 1-2 / 17 |

The CUSUM and the EWMA head-to-head |
110:Y |
QCAS / 60 / 1-2 / 19 |

Differential smoothing in the bivariate exponentially weighted moving average chart |
110:Y |
QCAS / 59 / 5-6 / 429 |

Control charts for simultaneous monitoring of unknown mean
and variance of normally distributed processes |
110:Y |
QCAS / 59 / 4 / 307 |

Robust CUSUM control charting |
110:Y |
QCAS / 59 / 3 / 185 |

edcc: An R package for the economic design of the control chart |
110:Y |
QCAS / 59 / 3 / 187 |

Two-sided charts for monitoring nonconforming parts per million |
110:Y |
QCAS / 59 / 1-2 / 17 |

A GLR control chart for monitoring the mean vector of a multivariate normal process |
110:Y |
QCAS / 59 / 1-2 / 19 |

A multivariate sign chart for monitoring process shape parameters |
110:Y |
QCAS / 59 / 1-2 / 21 |

Control charts based on the exponential distribution: Adapting runs rules for the t chart |
110:Y |
QCAS / 59 / 1-2 / 23 |

Likelihood-based EWMA charts for monitoring Poisson count data with time-varying sample sizes |
110:Y |
QCAS / 58 / 5-6 / 429 |

T2 control charts with variable dimension |
110:Y |
QCAS / 58 / 5-6 / 431 |

A binomial GLR control chart for monitoring a proportion |
110:Y |
QCAS / 58 / 5-6 / 433 |

Two nonparametric control charts for detecting arbitrary distribution changes |
110:Y |
QCAS / 58 / 5-6 / 435 |

Construction of control charts based on six sigma initiatives for fraction defectives with varying sample size |
110:Y |
QCAS / 58 / 5-6 / 437 |

Maximum-likelihood-based diagnostics after a signal from control charts |
110:Y |
QCAS / 58 / 5-6 / 439 |

Weighted CUSUM control charts for monitoring Poisson processes with varying sample sizes |
110:Y |
QCAS / 58 / 1-2 / 17 |

A non-parametric exponentially weighted a moving average
signed-rank chart for monitoring location |
110:Y |
QCAS / 58 / 1-2 / 19 |

Adaptive R charts with variable parameters |
110:Y |
QCAS / 58 / 1-2 / 21 |

Design and analysis of control charts for standard deviation
with estimated parameters |
110:Y |
QCAS / 58 / 1-2 / 23 |

A review and perspective on control charting with image data |
110:Y |
QCAS / 57 / 5-6 / 429 |

Effect of measurement error and autocorrelation on the x̄
chart |
110:Y |
QCAS / 57 / 5-6 / 431 |

Shewhart and EWMA t control charts for short production
Runs |
110:Y |
QCAS / 57 / 5-6 / 435 |

Improved design of robust exponentially weighted moving average control charts for auto-correlated processes |
110:Y |
QCAS / 57 / 5-6 / 437 |

Control charts for attributes with maxima nominated samples |
110:Y |
QCAS / 57 / 5-6 / 439 |

Multivariate Cuscore control charts for monitoring the mean vector in autocorrelated processes |
110:Y |
QCAS / 57 / 5-6 / 441 |

CUSUM charts for monitoring the mean of a multivariate Gaussian process |
110:Y |
QCAS / 57 / 5-6 / 443 |

Two MEWMA charts for Gumbel’s bivariate exponential distribution |
110:Y |
QCAS / 57 / 4 / 307 |

A synthetic double sampling control chart for the process Mean |
110:Y |
QCAS / 57 / 4 / 311 |

Control charts based on models derived from differential equations |
110:Y |
QCAS / 57 / 3 / 185 |

A note on the ARL of two-sided Bernoulli-based CUSUM control charts |
110:Y |
QCAS / 57 / 3 / 189 |

A multivariate sign EWMA control chart |
110:Y |
QCAS / 57 / 3 / 191 |

A phase I nonparametric Shewhart-type control chart based on the median |
110:Y |
QCAS / 57 / 1-2 / 17 |

Control charts for fraction non-conforming in a bivariate binomial process |
110:Y |
QCAS / 57 / 1-2 / 19 |

A side sensitive modified group runs control chart to detect shifts in the process mean |
110:Y |
QCAS / 57 / 1-2 / 21 |

A distribution-free phase I control chart for subgroup scale |
110:Y |
QCAS / 57 / 1-2 / 23 |

Design of a time-truncated double sampling plan for a general life distribution |
110:Y |
QCAS / 57 / 1-2 / 25 |

An application of fuzzy random variables to control charts |
110:Y |
QCAS / 56 / 5-6 / 429 |

New EWMA control charts for monitoring process dispersion |
110:Y |
QCAS / 56 / 4 / 307 |

On the performance of EWMA chart in the presence of two-component measurement error |
110:Y |
QCAS / 56 / 3 / 185 |

An evaluation of a GLR control chart for monitoring the process mean |
110:Y |
QCAS / 56 / 1-2 / 17 |

Nonparametric CUSUM and EWMA control charts for detecting mean shifts |
110:Y |
QCAS / 55 / 5-6 / 429 |

A nonparametric change-point control chart |
110:Y |
QCAS / 55 / 5-6 / 431 |

Likelihood ratio based distribution free EWMA control charts |
110:Y |
QCAS / 55 / 5-6 / 433 |

Self starting CUSCORE control charts for individual multivariate observations |
110:Y |
QCAS / 55 / 5-6 / 435 |

Monitoring process mean level using auxiliary information |
110:Y |
QCAS / 55 / 4 / 307 |

Reduction of control-chart signal variability for high-quality processes |
110:Y |
QCAS / 54 / 4 / 303 |

A case study in monitoring hospital-associated infections with count control charts |
110:B |
QCAS / 54 / 3 / 183 |

A weighted CUSUM chart for detecting patterned mean shifts |
110:Y |
QCAS / 54 / 3 / 185 |

Multivariate statistical process control based on principal component analysis (MSPC-PCA): Some reflections and a case study in an auto body assembly process |
110:Y |
QCAS / 53 / 6 / 543 |

Modified Shewhart charts for high yield processes |
110:Y |
QCAS / 53 / 6 / 545 |

On the superiority of a variable sampling interval control chart |
110:Y |
QCAS / 53 / 4-5 / 361 |

Two charts: Not one |
110:Y |
QCAS / 52 / 6 / 601 |

New demerit control limits for Poisson distributed defects |
110:Y |
QCAS / 52 / 4 / 361 |

Model-based control charts in phase I statistical process control |
110:Y |
QCAS / 52 / 4 / 363 |

Performance assessment and improvement of control charts for statistical batch process monitoring |
110:Y |
QCAS / 52 / 3 / 241 |

Self-adapting control charts |
110:Y |
QCAS / 52 / 3 / 243 |

Effects of parameter estimation on control chart properties: A literature review |
110:Y |
QCAS / 52 / 3 / 245 |

Phase I analysis for monitoring nonlinear profiles in manufacturing processes |
110:Y |
QCAS / 52 / 3 / 249 |

The use of control charts in health-care and public-health surveillance |
110:Y |
QCAS / 52 / 3 / 253 |

Statistical process adjustment: A brief retrospective, current status and some opportunities for further work |
110:Y |
QCAS / 52 / 3 / 257 |

Monitoring paper production using a spectral control chart designed to detect in the presence of multiple cycles |
110:Y |
QCAS / 52 / 2 / 121 |

Unit and group-runs chart to identify increases in fraction nonconforming |
110:Y |
QCAS / 52 / 2 / 125 |

Using CUSUM control schemes for monitoring quality levels in compound Poisson production environment: The geometric Poisson process |
110:Y |
QCAS / 52 / 2 / 127 |