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

6 Scopus citations

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	American English
Journal	Journal of Modern Applied Statistical Methods
DOIs	https://doi.org/10.22237/jmasm/1036110480
State	Published - Nov 1 2002

Keywords

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

DC Disciplines

Applied Statistics
Statistical Theory
Social and Behavioral Sciences

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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",

author = "Dyer, {John N.} and Adams, {B. Michael} and Conerly, {Michael D.}",

year = "2002",

month = nov,

day = "1",

doi = "10.22237/jmasm/1036110480",

language = "American English",

journal = "Journal of Modern Applied Statistical Methods",

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AU - Dyer, John N.

AU - Adams, B. Michael

AU - Conerly, Michael D.

PY - 2002/11/1

Y1 - 2002/11/1

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://digitalcommons.wayne.edu/jmasm/vol1/iss2/43

U2 - 10.22237/jmasm/1036110480

DO - 10.22237/jmasm/1036110480

M3 - Article

SN - 1538-9472

JO - Journal of Modern Applied Statistical Methods

JF - Journal of Modern Applied Statistical Methods

ER -

A Simulation Study Of The Impact Of Forecast Recovery For Control Charts Applied To ARMA Processes

Abstract

Keywords

DC Disciplines

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