Academic Journal
Assessing counting systems using a gold standard or a true count.
| Τίτλος: | Assessing counting systems using a gold standard or a true count. |
|---|---|
| Συγγραφείς: | French, Megan1 (AUTHOR) me2frenc@uwaterloo.ca, Browne, Ryan P.1 (AUTHOR), Steiner, Stefan H.1 (AUTHOR) |
| Πηγή: | Quality Engineering. 2026, Vol. 38 Issue 2, p293-305. 13p. |
| Θεματικοί όροι: | *Error analysis in mathematics, Counting, False positive error, Measurement errors, Statistical models, Poisson distribution, Metrology |
| Περίληψη: | We propose a new model and approach for assessing count measurement systems when a gold standard or the true count is available. We assume that the true counts arise from a Poisson distribution and the observed counts are subject to two types of errors. First, we may miss a true defect and second, we may obtain a false positive by labeling something flawless as a defect. We initially consider a gold standard plan where we have access to all the information. Then we consider a second plan where we only know the true count. We compare and discuss these plans empirically and theoretically. [ABSTRACT FROM AUTHOR] |
| Copyright of Quality Engineering is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Business Source Index |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:bsx&genre=article&issn=08982112&ISBN=&volume=38&issue=2&date=20260401&spage=293&pages=293-305&title=Quality Engineering&atitle=Assessing%20counting%20systems%20using%20a%20gold%20standard%20or%20a%20true%20count.&aulast=French%2C%20Megan&id=DOI:10.1080/08982112.2025.2550316 Name: Full Text Finder (for New FTF UI) (ns324271) Category: fullText Text: Full Text Finder MouseOverText: Full Text Finder |
|---|---|
| Header | DbId: bsx DbLabel: Business Source Index An: 192657256 RelevancyScore: 1390 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1390.35424804688 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Assessing counting systems using a gold standard or a true count. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22French%2C+Megan%22">French, Megan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> me2frenc@uwaterloo.ca</i><br /><searchLink fieldCode="AR" term="%22Browne%2C+Ryan+P%2E%22">Browne, Ryan P.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Steiner%2C+Stefan+H%2E%22">Steiner, Stefan H.</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Quality+Engineering%22">Quality Engineering</searchLink>. 2026, Vol. 38 Issue 2, p293-305. 13p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Error+analysis+in+mathematics%22">Error analysis in mathematics</searchLink><br /><searchLink fieldCode="DE" term="%22Counting%22">Counting</searchLink><br /><searchLink fieldCode="DE" term="%22False+positive+error%22">False positive error</searchLink><br /><searchLink fieldCode="DE" term="%22Measurement+errors%22">Measurement errors</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+models%22">Statistical models</searchLink><br /><searchLink fieldCode="DE" term="%22Poisson+distribution%22">Poisson distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Metrology%22">Metrology</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: We propose a new model and approach for assessing count measurement systems when a gold standard or the true count is available. We assume that the true counts arise from a Poisson distribution and the observed counts are subject to two types of errors. First, we may miss a true defect and second, we may obtain a false positive by labeling something flawless as a defect. We initially consider a gold standard plan where we have access to all the information. Then we consider a second plan where we only know the true count. We compare and discuss these plans empirically and theoretically. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Quality Engineering is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsx&AN=192657256 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/08982112.2025.2550316 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 293 Subjects: – SubjectFull: Error analysis in mathematics Type: general – SubjectFull: Counting Type: general – SubjectFull: False positive error Type: general – SubjectFull: Measurement errors Type: general – SubjectFull: Statistical models Type: general – SubjectFull: Poisson distribution Type: general – SubjectFull: Metrology Type: general Titles: – TitleFull: Assessing counting systems using a gold standard or a true count. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: French, Megan – PersonEntity: Name: NameFull: Browne, Ryan P. – PersonEntity: Name: NameFull: Steiner, Stefan H. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 08982112 Numbering: – Type: volume Value: 38 – Type: issue Value: 2 Titles: – TitleFull: Quality Engineering Type: main |
| ResultId | 1 |