Date of Award
7-2010
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Statistics
Supervisor
Aaron Childs
Language
English
Abstract
Manufacturers and consumers often use acceptance sampling to determine the acceptability of a lot from an outgoing production or incoming shipment base on a sample. Multilevel acceptance sampling for attributes is applied when the product has multiple levels of product quality or multiple types of (mutually exclusive) possible defects.
The aim of this project is to develop an R package MFSAS which provides the tools to create, evaluate, plot, and display multilevel acceptance sampling plans for attributes for both fixed and sequential sampling. The Dirichlet recursive functions are used to calculate cumulative probabilities for several common multivariate distributions which are needed in the package.
Recommended Citation
Chen, Yalin, "Implementation of Fixed and Sequential Multilevel Acceptance Sampling: The R Package MFSAS" (2010). Open Access Dissertations and Theses. Paper 4374.
http://digitalcommons.mcmaster.ca/opendissertations/4374
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