Dissertation/ Thesis
A computerized approach to finding the minimum sample size for single sample attribute sampling plans
| Τίτλος: | A computerized approach to finding the minimum sample size for single sample attribute sampling plans |
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| Συγγραφείς: | Sylvester, Lancelot G. |
| Συνεισφορές: | McDowell, Edward, Industrial and General Engineering, Oregon State University. Graduate School |
| Στοιχεία εκδότη: | Oregon State University |
| Συλλογή: | ScholarsArchive@OSU (Oregon State University) |
| Θεματικοί όροι: | Sampling (Statistics) -- Computer programs |
| Περιγραφή: | Much has been written concerning the determination of a single sampling plan given two points on the operating characteristic (OC) curve. A computer program is presented which will provide minimum sample size for single sample attribute sampling plans. The program provides sampling plans based on the binomial distribution. It incorporates the Fibonacci search technique for discrete valued functions. The search is conducted over an interval, for the variable representing the acceptance number, known to contain the optimal solution. For each point evaluated within this interval, a Fibonacci search is used to determine the least value of the sample size. It is shown how an initial feasible solution could provide the values needed to establish the search intervals. An algorithm already developed to produce integral solutions is used to determine the initial feasible solution. The algorithm developed in this paper is tested to determine its performance. The testing is to illustrate the accuracy of the proposed method. Use of the program also highlights accuracy problems existing with the previous minimum sample size method. Exact solutions are also determined through exhaustive searches for this purpose. A proof of optimality based on the Poisson approximation to the binomial is offered. |
| Τύπος εγγράφου: | master thesis |
| Γλώσσα: | English unknown |
| Relation: | https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/c821gn050 |
| Διαθεσιμότητα: | https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/c821gn050 |
| Rights: | In Copyright |
| Αριθμός Καταχώρησης: | edsbas.9C0F67F2 |
| Βάση Δεδομένων: | BASE |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/c821gn050# Name: EDS - BASE (ns324271) Category: fullText Text: View record from BASE |
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| Items | – Name: Title Label: Title Group: Ti Data: A computerized approach to finding the minimum sample size for single sample attribute sampling plans – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sylvester%2C+Lancelot+G%2E%22">Sylvester, Lancelot G.</searchLink> – Name: Author Label: Contributors Group: Au Data: McDowell, Edward<br />Industrial and General Engineering<br />Oregon State University. Graduate School – Name: Publisher Label: Publisher Information Group: PubInfo Data: Oregon State University – Name: Subset Label: Collection Group: HoldingsInfo Data: ScholarsArchive@OSU (Oregon State University) – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Sampling+%28Statistics%29+--+Computer+programs%22">Sampling (Statistics) -- Computer programs</searchLink> – Name: Abstract Label: Description Group: Ab Data: Much has been written concerning the determination of a single sampling plan given two points on the operating characteristic (OC) curve. A computer program is presented which will provide minimum sample size for single sample attribute sampling plans. The program provides sampling plans based on the binomial distribution. It incorporates the Fibonacci search technique for discrete valued functions. The search is conducted over an interval, for the variable representing the acceptance number, known to contain the optimal solution. For each point evaluated within this interval, a Fibonacci search is used to determine the least value of the sample size. It is shown how an initial feasible solution could provide the values needed to establish the search intervals. An algorithm already developed to produce integral solutions is used to determine the initial feasible solution. The algorithm developed in this paper is tested to determine its performance. The testing is to illustrate the accuracy of the proposed method. Use of the program also highlights accuracy problems existing with the previous minimum sample size method. Exact solutions are also determined through exhaustive searches for this purpose. A proof of optimality based on the Poisson approximation to the binomial is offered. – Name: TypeDocument Label: Document Type Group: TypDoc Data: master thesis – Name: Language Label: Language Group: Lang Data: English<br />unknown – Name: NoteTitleSource Label: Relation Group: SrcInfo Data: https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/c821gn050 – Name: URL Label: Availability Group: URL Data: https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/c821gn050 – Name: Copyright Label: Rights Group: Cpyrght Data: In Copyright – Name: AN Label: Accession Number Group: ID Data: edsbas.9C0F67F2 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.9C0F67F2 |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English – Text: unknown Subjects: – SubjectFull: Sampling (Statistics) -- Computer programs Type: general Titles: – TitleFull: A computerized approach to finding the minimum sample size for single sample attribute sampling plans Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sylvester, Lancelot G. – PersonEntity: Name: NameFull: McDowell, Edward – PersonEntity: Name: NameFull: Industrial and General Engineering – PersonEntity: Name: NameFull: Oregon State University. Graduate School IsPartOfRelationships: – BibEntity: Identifiers: – Type: issn-locals Value: edsbas |
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