### Abstract

Original language | Undefined |
---|---|

Place of Publication | Enschede |

Publisher | University of Twente, Department of Applied Mathematics |

Number of pages | 14 |

Publication status | Published - 2004 |

### Publication series

Name | Memorandum Faculty of Mathematical Sciences |
---|---|

Publisher | University of Twente, Department of Applied Mathematics |

No. | 1717 |

ISSN (Print) | 0169-2690 |

### Keywords

- EWI-3537
- MSC-62P30
- IR-65902
- METIS-218215
- MSC-62C05

### Cite this

*Alternative Shewhart-type charts for grouped observations*. (Memorandum Faculty of Mathematical Sciences; No. 1717). Enschede: University of Twente, Department of Applied Mathematics.

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*Alternative Shewhart-type charts for grouped observations*. Memorandum Faculty of Mathematical Sciences, no. 1717, University of Twente, Department of Applied Mathematics, Enschede.

**Alternative Shewhart-type charts for grouped observations.** / Albers, Willem/Wim; Kallenberg, W.C.M.

Research output: Book/Report › Report › Professional

TY - BOOK

T1 - Alternative Shewhart-type charts for grouped observations

AU - Albers, Willem/Wim

AU - Kallenberg, W.C.M.

N1 - Imported from MEMORANDA

PY - 2004

Y1 - 2004

N2 - Classical Shewhart control charts based on groups of observations use the average as statistic to decide whether a signal should be produced or not. Here several other statistics are investigated as well. Moreover, individual charts are compared with group charts. The chart using the minimum of each group of observations is a promising new proposal. For this chart (nonparametric) estimation of an extreme quantile is reduced to estimation of an ordinary quantile, which is far easier to perform accurately. The behavior of the minimum-chart is competitive to that of the average-chart when distributions are known.

AB - Classical Shewhart control charts based on groups of observations use the average as statistic to decide whether a signal should be produced or not. Here several other statistics are investigated as well. Moreover, individual charts are compared with group charts. The chart using the minimum of each group of observations is a promising new proposal. For this chart (nonparametric) estimation of an extreme quantile is reduced to estimation of an ordinary quantile, which is far easier to perform accurately. The behavior of the minimum-chart is competitive to that of the average-chart when distributions are known.

KW - EWI-3537

KW - MSC-62P30

KW - IR-65902

KW - METIS-218215

KW - MSC-62C05

M3 - Report

T3 - Memorandum Faculty of Mathematical Sciences

BT - Alternative Shewhart-type charts for grouped observations

PB - University of Twente, Department of Applied Mathematics

CY - Enschede

ER -