A computerized approach to finding the minimum sample size for single sample attribute sampling plans Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/c821gn050

Descriptions

Attribute NameValues
Creator
Abstract or Summary
  • 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.
Resource Type
Date Available
Date Copyright
Date Issued
Degree Level
Degree Name
Degree Field
Degree Grantor
Commencement Year
Advisor
Academic Affiliation
Non-Academic Affiliation
Subject
Rights Statement
Peer Reviewed
Language
Digitization Specifications
  • File scanned at 300 ppi (Monochrome) using ScandAll PRO 1.8.1 on a Fi-6670 in PDF format. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR.
Replaces
Additional Information
  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2013-06-27T14:38:36Z (GMT) No. of bitstreams: 1 SylvesterLancelotG1986.pdf: 611457 bytes, checksum: ea5a8a663e0cc8891044c70a50d1b8ba (MD5)
  • description.provenance : Submitted by Katy Davis (kdscannerosu@gmail.com) on 2013-06-26T16:18:12Z No. of bitstreams: 1 SylvesterLancelotG1986.pdf: 611457 bytes, checksum: ea5a8a663e0cc8891044c70a50d1b8ba (MD5)
  • description.provenance : Approved for entry into archive by Deborah Campbell(deborah.campbell@oregonstate.edu) on 2013-06-27T20:27:17Z (GMT) No. of bitstreams: 1 SylvesterLancelotG1986.pdf: 611457 bytes, checksum: ea5a8a663e0cc8891044c70a50d1b8ba (MD5)
  • description.provenance : Made available in DSpace on 2013-06-27T20:27:17Z (GMT). No. of bitstreams: 1 SylvesterLancelotG1986.pdf: 611457 bytes, checksum: ea5a8a663e0cc8891044c70a50d1b8ba (MD5) Previous issue date: 1985-06-10

Relationships

Parents:

This work has no parents.

Last modified

Downloadable Content

Download PDF

Items