A simulation study of the impact of forecast recovery for control charts applied to ARMA processes

John N. Dyer; B. Michael Adams; Michael D. Conerly

doi:10.22237/jmasm/1036110480

A simulation study of the impact of forecast recovery for control charts applied to ARMA processes

John N. Dyer
, B. Michael Adams
, Michael D. Conerly

Information Systems & Analytics

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

2 Downloads (Pure)

Abstract

Forecast-based schemes are often used to monitor autocorrelated processes, but the resulting forecast recovery has a significant effect on the performance of control charts. This article describes forecast recovery for autocorrelated processes, and the resulting simulation study is used to explain the performance of control charts applied to forecast errors.

Original language	English
Pages (from-to)	343-353
Number of pages	11
Journal	Journal of Modern Applied Statistical Methods
Volume	1
Issue number	2
DOIs	https://doi.org/10.22237/jmasm/1036110480
State	Published - 2002

Scopus Subject Areas

Statistics and Probability
Statistics, Probability and Uncertainty

Keywords

Autocorrelation
Box-Jenkins
Forecast Recovery
Quality
Simulation
Statistical Process Control
Statistics

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10.22237/jmasm/1036110480

Cite this

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title = "A simulation study of the impact of forecast recovery for control charts applied to ARMA processes",

abstract = "Forecast-based schemes are often used to monitor autocorrelated processes, but the resulting forecast recovery has a significant effect on the performance of control charts. This article describes forecast recovery for autocorrelated processes, and the resulting simulation study is used to explain the performance of control charts applied to forecast errors.",

keywords = "Autocorrelation, Box-Jenkins, Forecast Recovery, Quality, Simulation, Statistical Process Control, Statistics",

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year = "2002",

doi = "10.22237/jmasm/1036110480",

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AU - Dyer, John N.

AU - Adams, B. Michael

AU - Conerly, Michael D.

PY - 2002

Y1 - 2002

N2 - Forecast-based schemes are often used to monitor autocorrelated processes, but the resulting forecast recovery has a significant effect on the performance of control charts. This article describes forecast recovery for autocorrelated processes, and the resulting simulation study is used to explain the performance of control charts applied to forecast errors.

AB - Forecast-based schemes are often used to monitor autocorrelated processes, but the resulting forecast recovery has a significant effect on the performance of control charts. This article describes forecast recovery for autocorrelated processes, and the resulting simulation study is used to explain the performance of control charts applied to forecast errors.

KW - Autocorrelation

KW - Box-Jenkins

KW - Forecast Recovery

KW - Quality

KW - Simulation

KW - Statistical Process Control

KW - Statistics

UR - https://www.scopus.com/pages/publications/18444406540

U2 - 10.22237/jmasm/1036110480

DO - 10.22237/jmasm/1036110480

M3 - Article

SN - 1538-9472

VL - 1

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EP - 353

JO - Journal of Modern Applied Statistical Methods

JF - Journal of Modern Applied Statistical Methods

IS - 2

ER -

A simulation study of the impact of forecast recovery for control charts applied to ARMA processes

Abstract

Scopus Subject Areas

Keywords

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