A New Nonparametric Quality Control Technique

Peter Hackl; Johannes Ledolter

A New Nonparametric Quality Control Technique

Peter Hackl
, Johannes Ledolter

Publication: Scientific journal › Journal article › peer-review

Abstract

Traditional control chart procedures process the information in the time sequence plot of successive values of the control variable. In this paper we consider a control chart procedure that uses the sequential ranks of the observations. The sequential rank of an observation is defined as its rank among the most recent g observations. A control chart technique that considers exponentially weighted moving averages (EWMA) of sequential ranks is proposed. This new nonparametric technique is outlier-resistant, and it performs well if one is concerned about slowly trending process levels.

Original language	English
Pages (from-to)	423-443
Number of pages	21
Journal	Communications in Statistics. Simulation and Computation
Volume	21
Issue number	2
Publication status	Published - 1992

Cite this

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title = "A New Nonparametric Quality Control Technique",

abstract = "Traditional control chart procedures process the information in the time sequence plot of successive values of the control variable. In this paper we consider a control chart procedure that uses the sequential ranks of the observations. The sequential rank of an observation is defined as its rank among the most recent g observations. A control chart technique that considers exponentially weighted moving averages (EWMA) of sequential ranks is proposed. This new nonparametric technique is outlier-resistant, and it performs well if one is concerned about slowly trending process levels.",

author = "Peter Hackl and Johannes Ledolter",

year = "1992",

language = "English",

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pages = "423--443",

journal = "Communications in Statistics. Simulation and Computation",

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AU - Hackl, Peter

AU - Ledolter, Johannes

PY - 1992

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N2 - Traditional control chart procedures process the information in the time sequence plot of successive values of the control variable. In this paper we consider a control chart procedure that uses the sequential ranks of the observations. The sequential rank of an observation is defined as its rank among the most recent g observations. A control chart technique that considers exponentially weighted moving averages (EWMA) of sequential ranks is proposed. This new nonparametric technique is outlier-resistant, and it performs well if one is concerned about slowly trending process levels.

AB - Traditional control chart procedures process the information in the time sequence plot of successive values of the control variable. In this paper we consider a control chart procedure that uses the sequential ranks of the observations. The sequential rank of an observation is defined as its rank among the most recent g observations. A control chart technique that considers exponentially weighted moving averages (EWMA) of sequential ranks is proposed. This new nonparametric technique is outlier-resistant, and it performs well if one is concerned about slowly trending process levels.

M3 - Journal article

SN - 0361-0918

VL - 21

SP - 423

EP - 443

JO - Communications in Statistics. Simulation and Computation

JF - Communications in Statistics. Simulation and Computation

IS - 2

ER -