On Some Properties of the Optimally Refined Proportional Sampling Strategy.
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| Title: | On Some Properties of the Optimally Refined Proportional Sampling Strategy. |
|---|---|
| Authors: | Chan, F. T.1, Chen, T. Y.1, Mak, I. K.1, Shen, S. M.1 |
| Source: | Computer Journal. 1997, Vol. 40 Issue 4, p194-199. 6p. |
| Subjects: | Statistical sampling, Computers testing, Partitions (Mathematics), Probability theory, Empirical research |
| Abstract: | The optimally refined proportional sampling strategy has been recommended as a better alternative to random testing, when dividing the input domain into equal-sized partitions is easy. This paper investigates some properties of the optimally refined proportional sampling strategy. This investigation provides some useful information on how well the optimally refined proportional sampling strategy outperforms random testing. [ABSTRACT FROM AUTHOR] |
| Copyright of Computer Journal is the property of Oxford University Press / USA 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.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 80088083 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: On Some Properties of the Optimally Refined Proportional Sampling Strategy. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chan%2C+F%2E+T%2E%22">Chan, F. T.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Chen%2C+T%2E+Y%2E%22">Chen, T. Y.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Mak%2C+I%2E+K%2E%22">Mak, I. K.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Shen%2C+S%2E+M%2E%22">Shen, S. M.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computer+Journal%22">Computer Journal</searchLink>. 1997, Vol. 40 Issue 4, p194-199. 6p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Statistical+sampling%22">Statistical sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Computers+testing%22">Computers testing</searchLink><br /><searchLink fieldCode="DE" term="%22Partitions+%28Mathematics%29%22">Partitions (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Probability+theory%22">Probability theory</searchLink><br /><searchLink fieldCode="DE" term="%22Empirical+research%22">Empirical research</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The optimally refined proportional sampling strategy has been recommended as a better alternative to random testing, when dividing the input domain into equal-sized partitions is easy. This paper investigates some properties of the optimally refined proportional sampling strategy. This investigation provides some useful information on how well the optimally refined proportional sampling strategy outperforms random testing. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Computer Journal is the property of Oxford University Press / USA 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=egs&AN=80088083 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/comjnl/40.4.194 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: 194 Subjects: – SubjectFull: Statistical sampling Type: general – SubjectFull: Computers testing Type: general – SubjectFull: Partitions (Mathematics) Type: general – SubjectFull: Probability theory Type: general – SubjectFull: Empirical research Type: general Titles: – TitleFull: On Some Properties of the Optimally Refined Proportional Sampling Strategy. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chan, F. T. – PersonEntity: Name: NameFull: Chen, T. Y. – PersonEntity: Name: NameFull: Mak, I. K. – PersonEntity: Name: NameFull: Shen, S. M. IsPartOfRelationships: – BibEntity: Dates: – D: 03 M: 01 Text: 1997 Type: published Y: 1997 Identifiers: – Type: issn-print Value: 00104620 Numbering: – Type: volume Value: 40 – Type: issue Value: 4 Titles: – TitleFull: Computer Journal Type: main |
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