Ratio edits based on statistical tolerance intervals

Derek S. Young; Thomas Mathew

doi:10.1515/JOS-2015-0004

Ratio edits based on statistical tolerance intervals

Derek S. Young, Thomas Mathew

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

3 Scopus citations

Abstract

The role of statistical tolerance intervals for developing ratio edit tolerances in a parametric setup is investigated. The performance of the methodology is assessed for the normal and Weibull distributions. The numerical results show that in terms of Type I and Type II errors, statistical tolerance intervals exhibit better performance compared to other ratio edit procedures available in the literature. The methodology is illustrated using 2010 and 2011 data from the Annual Survey of Manufacturers.

Original language	English
Pages (from-to)	77-100
Number of pages	24
Journal	Journal of Official Statistics
Volume	31
Issue number	1
DOIs	https://doi.org/10.1515/JOS-2015-0004
State	Published - Mar 1 2015

Bibliographical note

Publisher Copyright:
© 2015, Statistics Sweden. All rights reserved.

Keywords

Outliers
Resistant
Robust
Tolerance limits
Trimming
Winsorization

ASJC Scopus subject areas

Statistics and Probability

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10.1515/JOS-2015-0004

Cite this

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abstract = "The role of statistical tolerance intervals for developing ratio edit tolerances in a parametric setup is investigated. The performance of the methodology is assessed for the normal and Weibull distributions. The numerical results show that in terms of Type I and Type II errors, statistical tolerance intervals exhibit better performance compared to other ratio edit procedures available in the literature. The methodology is illustrated using 2010 and 2011 data from the Annual Survey of Manufacturers.",

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AB - The role of statistical tolerance intervals for developing ratio edit tolerances in a parametric setup is investigated. The performance of the methodology is assessed for the normal and Weibull distributions. The numerical results show that in terms of Type I and Type II errors, statistical tolerance intervals exhibit better performance compared to other ratio edit procedures available in the literature. The methodology is illustrated using 2010 and 2011 data from the Annual Survey of Manufacturers.

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KW - Robust

KW - Tolerance limits

KW - Trimming

KW - Winsorization

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Ratio edits based on statistical tolerance intervals

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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